30-day Readmission Research Articles

Early outcomes with a fully retrievable SinoCrown transcatheter heart valve in patients with severe aortic stenosis.

This study summarizes and analyzes data from patients suffering from symptomatic aortic stenosis who successfully underwent transcatheter aortic valve implantation (TAVI) using a novel, completely retrievable transcatheter heart valve. We included patients who underwent a TAVI procedure with SinoCrown valves at our center between December 2021 and September 2022. We collected 1-year follow-up data on survival, complications, echocardiographic results, New York Heart Association functional class in heart failure, and patient-reported health-related quality of life outcomes. Eight successive patients (73.3 ± 4.3 years) were included in the study, with a median Society of Thoracic Surgery risk score of 4.26%. The procedure had a 100% success rate. Median postoperative discharge time was 7 days, with no 30-day hospital readmissions. Postoperative aortic valve hemodynamics improved, indicated by decreased transvalvular flow velocity compared with preoperative values (1.9 ± 0.2 vs. 4.9 ± 0.2 m/s, p < 0.0001). The median and maximum follow-up times were 8 and 12 months, respectively. During the follow-up period, there were no serious complications such as death, stroke, valve embolization, or high-grade atrioventricular block. The results from eight initial TAVI cases performed with the SinoCrown valve demonstrated promising safety and efficacy.

The safety of same-day discharge following percutaneous coronary intervention in regional Australia.

Same-day discharge (SDD) following percutaneous coronary intervention (PCI) has proven safe, and global adoption of this strategy has been increasing rapidly. These data are predominantly derived from high-volume, metropolitan centres with a relative paucity of data from regional and remote settings. The primary objective of this study was to evaluate the outcomes of a same-day, criteria-led discharge strategy following elective transradial PCI in a regional setting. This is a retrospective, single-centre cohort study. Consecutive outpatients aged ≥18 years presenting for elective transradial invasive coronary angiography between March 2019 and February 2024 were included in the analysis. We report the primary composite outcome of 30-day all-cause mortality and unplanned hospital readmission and compare proportions between those who were discharged on the day of their procedure with those admitted overnight in hospital and discharged the next day. A total of 555 eligible patients were identified, of which 330 (60%) were discharged on the day of their procedure. The composite primary end-point occurred in seven (2%) of the SDD patients and in six (3%) of the overnight admission patients (relative risk = 0.80; 95% confidence interval = 0.27-2.34; P = 0.68). No significant differences were seen in rates of readmission, or in other clinical outcomes assessed, including death, myocardial infarction, stroke and vascular complications or bleeding. In a regional setting, SDD following elective transradial PCI, in select patients, is a safe approach which was not associated with higher rates of unplanned readmission or adverse clinical outcomes.

Survival After Simple Compared With Radical Hysterectomy for Patients With Early-Stage Cervical Cancer.

To assess the effect on overall survival of simple hysterectomy with lymph node staging compared with radical hysterectomy with lymph node staging for patients with early-stage cervical cancer. We conducted a retrospective cohort study of patients in the National Cancer Database diagnosed with early cervical carcinoma of 2 cm or smaller (stage IA1 with lymphovascular space invasion through IIA1, International Federation of Gynecology and Obstetrics staging) from 2010 to 2019. After 1:1 propensity score matching, we compared patients who underwent simple hysterectomy with lymph node staging and those with radical hysterectomy with lymph node staging. The variables used for matching were age, tumor size, race and ethnicity, lymphovascular space invasion, year of diagnosis, Charlson-Deyo comorbidity score, histology, and surgical approach. The primary outcome was overall survival at the end of follow-up. Secondary outcomes included 30-day readmission rate and 30- and 90-day mortality rates. In total, 4,167 patients met the inclusion criteria, of whom 2,637 patients (63.3%) underwent radical hysterectomy and lymph node staging and 1,530 patients (36.7%) underwent simple hysterectomy and lymph node staging. After propensity score matching, 1,529 patients in each group were included. There was no statistically significant difference in overall survival between patients who underwent simple hysterectomy and those who underwent radical hysterectomy (hazard ratio 1.25, 95% CI, 0.91-1.73, P=.17). Subgroup analysis by histology, lymphovascular space invasion, tumor size, and surgical approach did not reveal statistically significant differences in overall survival according to hysterectomy type. The hysterectomy groups also did not significantly differ in 30-day readmission rate (4.6% vs 4.2%, P=.73), 30-day mortality rate (0.1% vs 0%, P=.14), or 90-day mortality rate (0.1% vs 0.1%, P=.93). Patients with low-risk cervical cancer could undergo less radical surgery without a negative effect on their oncologic outcomes.

Transitions of Care Pharmacist Impact Following Hospitalization for Acute Myocardial Infarction.

Background: Patients admitted with acute myocardial infarction (AMI) are at high risk for morbidity and rehospitalizations. Pharmacists can play a vital role in secondary prevention by providing services such as medication reconciliation and patient education upon discharge. Objective: The purpose of this study was to evaluate the impact of a pharmacist-led transitions of care (TOC) service on readmissions in patients hospitalized with AMI. Methods: This single center, pre-post observational cohort study evaluated adults with AMI who received pharmacist TOC services compared with a historical cohort who did not. Patients were excluded if they underwent cardiac surgery during admission. The primary outcome was the difference in 90-day cardiovascular (CV)-related readmissions. Secondary outcomes included 30- and 90-day all-cause readmissions, 30-day CV-related readmissions, and patients discharged on defect-free guideline-directed medical therapy (GDMT) for AMI. Results: There were 252 patients in each cohort included. No difference was found in 90-day CV readmissions, with a rate of 10.7% in the pre-TOC group versus 9.9% in the post-TOC group (OR 0.937, 95% CI [0.493, 1.769]; P = 0.842). Patients discharged on defect-free GDMT significantly increased from 61.5% pre-TOC to 87.7% post-TOC (OR 5.424, 95% CI [3.204, 9.468]; P < 0.001). There were no significant differences found in other key secondary outcomes. Conclusion and relevance: This study did not find a significant difference in hospital readmissions after implementation of a pharmacist-led TOC service. However, the service was associated with a significant increase in patients discharged on defect-free GDMT. Further studies are needed to confirm the impact of increased GDMT on clinical outcomes.

Assessing a revised-risk analysis index for morbidity and mortality after spine surgery for metastatic spinal tumors.

Risk Analysis Index (RAI) has been increasingly used to assess surgical frailty in various procedures, but its effectiveness in predicting mortality or in-patient hospital outcomes for spine surgery in metastatic disease remains unclear. The aim of this study was to compare the predictive values of the revised RAI (RAI-rev), the modified frailty index-5 (mFI-5), and advanced age for extended length of stay, 30-day readmission, complications, and mortality among patients undergoing spine surgery for metastatic spinal tumors. A retrospective cohort study was performed using the 2012-2022 ACS NSQIP database to identify adult patients who underwent spinal surgery for metastatic spinal pathologies. Using receiver operating characteristic (ROC) and multivariable analyses, we compared the discriminative thresholds and independent associations of RAI-rev, mFI-5, and greater patient age with extended length of stay (LOS), 30-day complications, hospital readmission, and mortality. A total of 1,796 patients were identified, of which 1,116 (62.1%) were male and 1,008 (70.7%) were non-Hispanic White. RAI-rev identified 1,291 (71.9%) frail and 208 (11.6%) very frail patients, while mFI-5 identified 272 (15.1%) frail and 49 (2.7%) very frail patients. In the ROC analysis for extended LOS, both RAI-rev and mFI-5 showed modest predictive capabilities with area under the curve (AUC) values of 0.5477 and 0.5329, respectively, and no significant difference in their predictive abilities (p = 0.446). When compared to age, RAI-rev demonstrated superior prediction (p = 0.015). With respect to predicting 30-day readmission, no significant difference was observed between RAI-rev and mFI-5 (AUC 0.5394 l respectively, p = 0.354). However, RAI-rev outperformed age (p = 0.001). When assessing the risk of 30-day complications, RAI-rev significantly outperformed mFI-5 (AUC: 0.6016 and 0.5542 respectively, p = 0.022) but not age. Notably, RAI-rev demonstrated superior ability for predicting 30-day mortality compared to mFI-5 and age (AUC: 0.6541, 0.5652, and 0.5515 respectively, p < 0.001). Multivariate analysis revealed RAI-rev as a significant predictor of extended LOS [aOR: 1.96, 95% CI: 1.13-3.38, p = 0.016] and 30-day mortality [aOR: 5.27, 95% CI: 1.73-16.06, p = 0.003] for very frail patients. Similarly, the RAI-rev significantly predicted 30-day complications for frail [aOR: 2.63, 95% CI: 1.21-5.72, p = 0.015] and very frail [aOR: 3.69, 95% CI: 1.60-8.51, p = 0.002] patients. However, the RAI did not significantly predict 30-day readmission [Very Frail aOR: 1.52, 95% CI: 0.75-3.07, p = 0.245; Frail aOR: 1.46, 95% CI: 0.79-2.68, p = 0.225]. Our study demonstrates the utility of RAI-rev in predicting morbidity and mortality in patients undergoing spine surgery for metastatic spinal pathologies. Particularly, the superiority that RAI-rev has in predicting 30-day mortality may have significant implications in multidisciplinary decision making.

Metabolic and bariatric surgery outcomes in adolescents: a single center's seven-year update.

Metabolic and bariatric surgery (MBS) is gaining traction as a treatment option for adolescents with severe obesity. Since our weight center last published results in 2014, trends have shown increasingly diverse patient populations undergoing MBS and a shift from laparoscopic Roux-en-Y gastric bypass (LRYGB) to sleeve gastrectomy (LSG). We assessed outcomes including follow-up, weight loss, comorbidity resolution, and complications among our recent adolescent and young adult MBS patients. This is a retrospective cohort analysis of patients under 21years of age with severe obesity who underwent MBS at a single institution between 2014 and 2020. Data on demographics, comorbidities, body mass index (BMI), percent of total body weight loss (%TBWL) at various timepoints, and subsequent complications were collected via chart review. Regression examined associations between preoperative factors, follow-up, and %TBWL. There were 79 patients of whom 73% were female; overall, 53% were White, 24% Hispanic, and 15% non-Hispanic Black. The majority (80%) of patients underwent LSG. Three-fourths of patients had follow-up data beyond 1year, and half beyond 3years. The median %TBWL of LSG patients was 23% at a median follow-up of 3.0years, and LRYGB patients 28% at 2.4years. No preoperative factors were associated with follow-up or final %TBWL, but 6-month %TBWL predicted final %TBWL. Preoperatively, 73% of patients had at least one weight-related comorbidity, and 57% had documented improvements in at least one after surgery. There were three 30-day readmissions and no mortalities. This study, which is an update to a previous series from our center, reflects recent national trends with nearly half non-White patients and predominance of LSG over LRYGB. It adds to a growing body of evidence indicating that MBS is a safe and effective method of achieving weight loss and comorbidity resolution in adolescents with severe obesity.

High inpatient-opioid consumption predicts extended length of hospital stay in patients undergoing spinal fusion for adolescent idiopathic scoliosis.

Opioids are common medications used following spine surgery. However, few studies have assessed the impact of increased inpatient-opioid consumption on outcomes following posterior spinal fusion (PSF) for adolescent idiopathic scoliosis (AIS). The aim of this study was to determine the impact of increased inpatient-opioid consumption on hospital length of stay (LOS) following PSF for AIS. A retrospective cohort study was performed using the Premier Healthcare Database (2016-2017). Adolescent patients (11-17years old) who underwent PSF for AIS, identified using ICD-10-CM coding, were stratified by inpatient MME (morphine milligram equivalent) consumption into Low (< 25th percentile for the cohort), Medium (25-75th percentile), and High (> 75th percentile) cohorts. Demographics, comorbidities, intraoperative procedures, perioperative adverse events (AEs), length of hospital stay (LOS), non-routine discharge rates, cost of admission, and 30-day readmission rates were assessed. A logistic multivariate regression analysis was performed to determine the association between inpatient MME consumption and extended LOS. Of the 1042 study patients, 260 (24.9%) had Low-MME consumption, 523 (50.2%) had Medium-MME consumption, and 259 (24.9%) had High-MME consumption. A greater proportion of patients in the High cohort identified as non-Hispanic white (Low: 46.5% vs Medium: 61.4% vs High: 65.3%, p < 0.001), while the proportion of patients reporting any comorbidity did not vary across the cohorts (p = 0.940). The number of post-operative AEs experienced also did not vary across the cohorts (p = 0.629). A greater proportion of patients in the High cohort had an extended LOS (Low: 6.5% vs Medium: 8.6% vs High: 19.7%, p < 0.001), while a greater proportion of patients in the Low cohort had an increased cost of admission (Low: 33.1% vs Medium: 20.3% vs High: 26.6%, p < 0.001). The High cohort had increased 30-day readmission rates relative to the Low and Medium cohorts (Low: 0.8% vs Medium: 0.2% vs High: 1.5%, p = 0.049). Non-routine discharge rates did not vary among the cohorts (p = 0.441). On multivariate analysis, High-MME consumption was significantly associated with extended LOS, while Medium-MME consumption was not [Medium: aOR: 1.48, CI (0.83, 2.74), p = 0.193; High: aOR: 4.43, CI (2.47, 8.31), p < 0.001]. Our study showed that high post-operative-MME consumption was significantly associated with extended LOS in patients undergoing PSF for AIS. In light of these findings, changes to existing protocols that decrease the reliance on opioids for post-operative analgesia are merited to improve patient outcomes and reduce health-care expenditures.

Rural-Urban Disparities in Hospital Services and Outcomes for Children With Medical Complexity

Limited availability of inpatient pediatric services in rural regions has raised concerns about access, safety, and quality of hospital-based care for children. This may be particularly important for children with medical complexity (CMC). To describe differences in the availability of pediatric services at acute care hospitals where rural- and urban-residing CMC presented for hospitalization; identify rural-urban disparities in health care quality and in-hospital mortality; and determine whether the availability of pediatric services at index hospitals or the experience of interfacility transfer modified rural-urban differences in outcomes. This retrospective cohort study examined all-payer claims data from Colorado, Massachusetts, and New Hampshire from 2012 to 2017. Analysis was conducted from May 2023 to July 2024. Participants included CMC younger than 18 years residing in these states and hospitalized during the study period. Rural or urban residence was determined using Rural-Urban Commuting Area codes. Hospitals were categorized as children's hospitals or general hospitals with comprehensive, limited, or no dedicated pediatric services using American Hospital Association survey data. Interfacility transfers between index and definitive care hospitals were identified using health care claims. In-hospital mortality, all-cause 30-day readmission, medical-surgical safety events, and surgical safety events were operationalized using Agency for Healthcare Research and Quality measure specifications. Among 36 943 CMC who experienced 79 906 hospitalizations, 16 525 (44.7%) were female, 26 034 (70.5%) were Medicaid-insured, and 34 008 (92.1%) were urban-residing. Rural-residing CMC were 6.55 times more likely to present to hospitals without dedicated pediatric services (rate ratio [RR], 6.55 [95% CI, 5.86-7.33]) and 2.03 times more likely to present to hospitals without pediatric beds (RR, 2.03 [95% CI, 1.88-2.21]) than urban-residing CMC, with no significant differences in interfacility transfer rates. In unadjusted analysis, rural-residing CMC had a 44% increased risk of in-hospital mortality (RR, 1.44 [95% CI, 1.03-2.02]) with no significant differences in other outcomes. Adjusting for clinical characteristics, the difference in in-hospital mortality was no longer significant. Index hospital type was not a significant modifier of observed rural-urban outcomes, but interfacility transfer was a significant modifier of rural-urban differences in surgical safety events. In this cohort study, rural-residing CMC were significantly more likely to present to hospitals without dedicated pediatric services. These findings suggest that efforts are justified to ensure that all hospital types are prepared to care for CMC.

Impact of the Charlson Comorbidity Index on Delirium Outcomes.

Introduction Delirium is a significant inpatient healthcare challenge and has a greater incidence among older adults with adverse healthcare outcomes. Yet there are limited established models for risk stratification. The objective is to determine the effectiveness of implementing the Charlson comorbidity index (CCI) score, which is calculated based on the assigned weight for various disease conditions, and to analyze the healthcare outcomes in older hospitalized adults with delirium. Methodology A retrospective cohort study of 214 elderly hospitalized patients between January 1, 2015, and December 31, 2016, with the diagnosis of delirium, was analyzed by grouping based on the severity of diseases as defined in CCI. The primary analysis outcome was to analyze all-cause inpatient mortality, length of hospital stay (in days), 30-day readmissions, and discharge destination in patients with delirium based on CCI scores using regression analysis and nonparametric tests. Secondary analysis included the prevalence and characteristics of delirium patients in different severity levels of CCI. Results Patients with the severe CCI category (with a total score of five and above) spent 10 days longer in the hospital than those who were categorized with mild delirium (p = 0.011). There is a strong association between in-hospital mortality and the severe CCI category (odds ratio (OR), 4.566; 95% CI, 1.17- 1.86 (p = 0.035)). Also, patients with severe CCI scores were 4.6 times more likely to die during hospitalization compared to patients with less severe comorbidities. There were no significant differences found for discharge destination (OR, 0.702; 95% CI, 371- 1.328 (p = 0.277)) and readmission risk (OR, 1.660; 95% CI, 0.664- 4.149 (p = 0.278)) among different CCI groups. Conclusions Length of stay and inpatient mortality were significantly higher among the severe CCI category compared to the mild category. Our study suggests that CCI can help clinicians, patients, and their families in prognostication and better understanding of goals of care conversations.

Diabetes and heart disease do not affect short-term lumbar fusion outcomes accounting for other risk factors in a matched cohort analysis

ObjectivesComprehensive preoperative management involves the identification and optimization of medical comorbidities while avoiding excessive healthcare utilization. While diabetes and heart disease are major causes of morbidity that can worsen surgical outcomes, further study is needed to evaluate how well current perioperative strategies mitigate their risks. This study employs an exact matching protocol to isolate the effects of both diabetes and cardiovascular disease on spine surgery outcomes. Methods4680 consecutive patients undergoing single-level, posterior-only lumbar fusion were retrospectively enrolled. Univariate logistic regression was performed on comorbidity subgroups, then coarsened exact matching (CEM) was employed for patients with diabetes or cardiovascular disease. Patients were matched 1:1 on ten patient and procedural characteristics known to affect neurosurgical outcomes. Separate pairs of exact-matched cohorts were generated to isolate both cardiovascular disease (matched n = 192), and diabetes (matched n = 380). Primary outcomes were surgical complications; length of stay; discharge disposition (home vs. non-home); and 30- and 90-day Emergency Department (ED) visits, readmissions, reoperations, and mortality. ResultsCardiovascular disease and diabetes subgroups were not associated with short term outcomes after matching to control for confounders. Compared to univariate statistics, this method demonstrates that confounding control variables may drive outcomes more than these comorbidities themselves. ConclusionBetween otherwise exactly matched patients undergoing lumbar fusion, diabetes and cardiovascular disease posed no greater risk of short-term adverse outcomes. This suggests proper selection criteria for surgical candidates and effective current perioperative strategies to mitigate these common comorbidities. Further studies are warranted to assess and optimize the cost-effectiveness of preoperative management for patients with common comorbidities.

Comparative analysis of readmission rates and outcomes: Sleeve gastrectomy with versus without Nissen fundoplication using a National Database.

Laparoscopic sleeve gastrectomy (LSG) is the most frequently performed bariatric procedure. To study the safety of LSG done with Nissen Fundoplication (NF) in patients affected by obesity and GERD and assess the complication rate. A retrospective cohort study using the Nationwide Readmissions Database from 2016 to 2019. A total of 236111 patients underwent LSG with and without NF. A matched cohort of 1096 without NF and 548 with NF was obtained. The median age of patients was 47 years old. Median length of hospital stay was higher in the LSG with NF group. Median total charge was higher in the LSG with NF group. There was no statistically significant difference in 30-day readmission rates in patients with obesity and GERD who received LSG with NF compared to those who received LSG alone. Complications after both procedures were low, which highlights the safety of both procedures.

Insights into the Neutrophil-to-Lymphocyte Ratio and the Platelet-to-Lymphocyte Ratio as Predictors for the Length of Stay and Readmission in Chronic Heart Failure Patients.

This study evaluates the prognostic relationship between NLR, PLR, and, in a specific subcohort, N-terminal pro B-type natriuretic peptide (NT-proBNP), alongside length of stay (LOS) and 90-day readmission rates in CHF patients, irrespective of heart failure phenotype. A retrospective analysis of 427 CHF admissions (males = 57.84%) was conducted. The mean age of the entire population was 68.48 ± 11.53 years. The average LOS was 8.33 ± 5.26 days, with a readmission rate of 73 visits (17.09%) for 56 patients. The NLR (3.79 ± 3.32) showed a low but positive correlation with the LOS (r = 0.222, p < 0.001). Conversely, the PLR (144.84 ± 83.08) did not demonstrate a significant association with the LOS. The NLR presented a low negative correlation for days until the next admission (r = -0.023, p = 0.048). In a prespecified subanalysis of 323 admissions, the NT-proBNP exhibited a low positive Pearson correlation with the NLR (r = 0.241, p < 0.001) and PLR (r = 0.151, p = 0.006). The impact of the NLR across heart failure phenotypes may suggest the role of systemic inflammation in understanding and managing CHF.

Preoperative Mental Health Disorders Affect Opioid Consumption and Perioperative Complications After Total Shoulder Arthroplasty.

Limited evidence exists regarding the influence of mental health disorders (MHDs) on opioid use and complications after total shoulder arthroplasty (TSA). We aimed to identify the prevalence of common MHDs among patients undergoing anatomic TSA (aTSA) and reverse TSA (rTSA). The Premier Healthcare Database was queried for patients undergoing primary aTSA and rTSA from 2016 to 2020. International Classification of Diseases, Tenth Revision, diagnosis codes were used to identify MHDs. Primary outcomes included the prevalence of MHDs, perioperative opioid consumption, and 90-day risk of postoperative complications, revision, and readmission. Bivariate and multivariate regression analyses were performed to assess 90-day risk of primary endpoints while controlling for potential confounders. Statistical significance was defined as P<.05. From 2016 to 2020, 49,997 of 144,725 (34.55%) patients undergoing primary TSA had at least one diagnosed MHD. The most prevalent were depression (17.03%), anxiety (16.75%), and substance use disorder (10.20%). Patients with a MHD had higher mean hospital costs ($75,984±$43,129 vs $73,316±$39,046, P<.0001), longer mean length of stay (1.95±2.25 days vs 1.61±1.51 days, P<.0001), and higher mean total postoperative opioid use (72.00±231.55 morphine milligram equivalents [MMEs] vs 59.32±127.31 MMEs, P<.0001). Periprosthetic fractures (odds ratio, 1.20; P=.041), dislocation (odds ratio, 1.12; P=.042), and 90-day readmission rates (odds ratio, 1.26; P<.001) were significantly higher among patients with a MHD. This study found that MHDs are associated with significantly increased perioperative opioid consumption, medical and surgical complication rates, and risk of readmission after TSA. Recognition and optimization of MHDs is critical to minimizing complications and opioid consumption after TSA. [Orthopedics. 202x;4x(x):xx-xx.].

Local excision vs. proctectomy in patients with ypT0–1 rectal cancer following neoadjuvant therapy: a propensity score matched analysis of the National Cancer Database

BackgroundWe aimed to evaluate outcomes of organ preservation by local excision (LE) compared to proctectomy following neoadjuvant therapy for rectal cancer.MethodsThis retrospective observational study using the National Cancer Database (NCDB) included patients with locally advanced non-metastatic rectal cancer (ypT0–1 tumors) treated with neoadjuvant therapy between 2004 and 2019. Outcomes of patients who underwent LE or proctectomy were compared. 1:1 propensity score matching including patient demographics, clinical and therapeutic factors was used to minimize selection bias. Main outcome was overall survival (OS).Results11,256 of 318,548 patients were included, 526 (4.6%) of whom underwent LE. After matching, mean 5-year OS was similar between the groups (54.1 vs. 54.2 months; p = 0.881). Positive resection margins (1.2% vs. 0.6%; p = 0.45), pathologic T stage (p = 0.07), 30-day mortality (0.6% vs. 0.6%; p = 1), and 90-day mortality (1.5% vs. 1.2%; p = 0.75) were comparable between the groups. Length of stay (1 vs. 6 days; p < 0.001) and 30-day readmission rate (5.3% vs. 10.3%; p = 0.02) were lower in LE patients. Multivariate analysis of predictors of OS demonstrated male sex (HR 1.38, 95% CI 1.08–1.77; p = 0.009), higher Charlson score (HR 1.52, 95% CI 1.29–1.79; p < 0.001), poorly differentiated carcinoma (HR 1.61, 95% CI 1.08–2.39; p = 0.02), mucinous carcinoma (HR 3.53, 95% CI 1.72–7.24; p < 0.001), and pathological T1 (HR 1.45, 95% CI 1.14–1.84; p = 0.002) were independent predictors of increased mortality. LE did not correlate with worse OS (HR 0.91, 95% CI 0.42–1.97; p = 0.82).ConclusionOur findings show no overall significant survival difference between LE and total mesorectal excision, including ypT1 tumors. Moreover, patients with poorly differentiated or mucinous adenocarcinomas generally had poorer outcomes, regardless of surgical method.

Compliance of enhanced recovery after surgery (ERAS) protocol in emergency and elective colorectal cancer surgery with a perspective from a developing country.

To evaluate compliance with enhanced recovery after surgery protocol of patients undergoing colorectal carcinoma surgery, and to compare its effect on outcomes. The retrospective study was conducted at the Maroof International Hospital, Islamabad, Pakistan, and comprised data from July 15, 2016, to March 20, 2022, of patients of either gender undergoing elective or emergency colorectal carcinoma surgery. Data included age, gender, tumour site, type of surgery, surgical approach, compliance with each of the 25 components of the enhanced recovery after surgery protocol, length of hospital stay, surgery duration, 30-day readmission rate and perioperative mortality. Data was analysed using SPSS 23. Of the 96 patients with mean age 50.03±14.86 years (range: 20-79 years), 65(67.7%) were males, 70(72.91%) were aged at least 40 years, and 75(78.12%) underwent elective surgery. Most common tumour site was rectum and sigmoid 49(51%). Laparoscopic surgery was performed in 17(17.7%) patients. No compliance was seen with carbohydrate loading of patients or limiting use of opioids in standard anaesthesia protocol. No nutritional supplementation was started from postoperative day 1. Mean compliance with all the protocol components was 74.9%±37.652 for both elective and emergency cases. Mean duration of surgery was 192.50±75.33 minutes, while mean length of hospital stay was 5.52±1.57 days. Re-admission within 30 days was needed in 2(2.1%) cases. There was no perioperative mortality. Better compliance with enhanced recovery after surgery protocol resulted in better perioperative outcomes.

Early versus delayed necrosectomy in pancreatic necrosis: A population-based cohort study on readmission, healthcare utilization, and in-hospital mortality.

Acute necrotizing pancreatitis is a severe and life-threatening condition. It poses a considerable challenge for clinicians due to its complex nature and the high risk of complications. Several minimally invasive and open necrosectomy procedures have been developed. Despite advancements in treatment modalities, the optimal timing to perform necrosectomy lacks consensus. To evaluate the impact of necrosectomy timing on patients with pancreatic necrosis in the United States. A national retrospective cohort study was conducted using the 2016-2019 Nationwide Readmissions Database. Patients with non-elective admissions for pancreatic necrosis were identified. The participants were divided into two groups based on the necrosectomy timing: The early group received intervention within 48 hours, whereas the delayed group underwent the procedure after 48 hours. The various intervention techniques included endoscopic, percutaneous, or surgical necrosectomy. The major outcomes of interest were 30-day readmission rates, healthcare utilization, and inpatient mortality. A total of 1309 patients with pancreatic necrosis were included. After propensity score matching, 349 cases treated with early necrosectomy were matched to 375 controls who received delayed intervention. The early cohort had a 30-day readmission rate of 8.6% compared to 4.8% in the delayed cohort (P = 0.040). Early necrosectomy had lower rates of mechanical ventilation (2.9% vs 10.9%, P < 0.001), septic shock (8% vs 19.5%, P < 0.001), and in-hospital mortality (1.1% vs 4.3%, P = 0.01). Patients in the early intervention group incurred lower healthcare costs, with median total charges of $52202 compared to $147418 in the delayed group. Participants in the early cohort also had a relatively shorter median length of stay (6 vs 16 days, P < 0.001). The timing of necrosectomy did not significantly influence the risk of 30-day readmission, with a hazard ratio of 0.56 (95% confidence interval: 0.31-1.02, P = 0.06). Our findings show that early necrosectomy is associated with better clinical outcomes and lower healthcare costs. Delayed intervention does not significantly alter the risk of 30-day readmission.

An analysis of length of stay and readmissions of COPD patients in the U.S. between 2010 and 2020

ABSTRACT Aim This study investigates the impact of hospital length of stay (LOS) on 30-day readmissions for Chronic Obstructive Pulmonary Disease (COPD) patients using a U.S. national dataset. It also aims to understand how discharge dispositions influence LOS and readmission risk trends and to offer valuable insights into the effectiveness of post-discharge care and its role in readmission outcomes. Methods Given the complexities of the relationship between LOS and readmissions, we employ instrumental variable (IV) analysis to mitigate potential biases. Our data cover 11 years to ensure the study's robustness and comprehensiveness. Results Our findings reveal that older, Medicare-insured patients, predominantly discharged routinely, constitute a significant portion of readmitted cases. Data visualization shows increasing readmission rates with extended LOS, particularly among patients discharged against medical advice. However, IV analysis indicates that longer LOS is associated with reduced readmission rates. Conclusions This study shows the critical role of insurance type, socio-economic factors, and hospital characteristics in determining both readmission rates and LOS among COPD patients. The results highlight the necessity for targeted interventions to reduce healthcare disparities, especially for Medicare and Medicaid beneficiaries. This study provides valuable insights for improving COPD patient care and addressing disparities in healthcare access and outcomes.

Impact of wearable device data and multi-scale entropy analysis on improving hospital readmission prediction.

Unplanned readmissions following a hospitalization remain common despite significant efforts to curtail these. Wearable devices may offer help identify patients at high risk for an unplanned readmission. We conducted a multi-center retrospective cohort study using data from the All of Us data repository. We included subjects with wearable data and developed a baseline Feedforward Neural Network (FNN) model and a Long Short-Term Memory (LSTM) time-series deep learning model to predict daily, unplanned rehospitalizations up to 90 days from discharge. In addition to demographic and laboratory data from subjects, post-discharge data input features include wearable data and multiscale entropy features based on intraday wearable time series. The most significant features in the LSTM model were determined by permutation feature importance testing. In sum, 612 patients met inclusion criteria. The complete LSTM model had a higher area under the receiver operating characteristic curve than the FNN model (0.83 vs 0.795). The 5 most important input features included variables from multiscale entropy (steps) and number of active steps per day. Data available from wearable devices can improve ability to predict readmissions. Prior work has focused on predictors available up to discharge or on additional data abstracted from wearable devices. Our results from 35 institutions highlight how multiscale entropy can improve readmission prediction and may impact future work in this domain. Wearable data and multiscale entropy can improve prediction of a deep-learning model to predict unplanned 90-day readmissions. Prospective studies are needed to validate these findings.

Machine Learning-Based Predictions of Mortality and Readmission in Type 2 Diabetes Patients in the ICU

Prognostic outcomes for patients with type 2 diabetes in the intensive care unit (ICU), including mortality and readmission rates, are critical for informed clinical decision-making. Although existing research has established a link between type 2 diabetes and adverse outcomes in the ICU, the potential of machine learning techniques for enhancing predictive accuracy has not been fully realized. This study seeks to develop and validate predictive models employing machine learning algorithms to forecast mortality and 30-day post-discharge readmission rates among ICU type 2 diabetes patients, thereby enhancing predictive accuracy and supporting clinical decision-making. Data were extracted and preprocessed from the MIMIC-III database, focusing on 14,222 patients with type 2 diabetes and their corresponding ICU admission records. Comprehensive information, including vital signs, laboratory results, and demographic characteristics, was utilized. Six machine learning algorithms—bagging, AdaBoost, GaussianNB, logistic regression, MLP, and SVC—were developed and evaluated using 10-fold cross-validation to predict mortality at 3 days, 30 days, and 365 days, as well as 30-day post-discharge readmission rates. The machine learning models demonstrated strong predictive performance for both mortality and readmission rates. Notably, the bagging and AdaBoost models showed superior performance in predicting mortality across various time intervals, achieving AUC values up to 0.8112 and an accuracy of 0.8832. In predicting 30-day readmission rates, the MLP and AdaBoost models yielded the highest performance, with AUC values reaching 0.8487 and accuracy rates of 0.9249. The integration of electronic health record data with advanced machine learning techniques significantly enhances the accuracy of mortality and readmission predictions in ICU type 2 diabetes patients. These models facilitate the identification of high-risk patients, enabling timely interventions, improving patient outcomes, and demonstrating the significant potential of machine learning in clinical prediction and decision support.

Clinical and utilization outcomes with short stay units vs hospital admission for lower risk decompensated heart failure: a systematic review and meta-analysis.

With over 1 million primary heart failure (HF) hospitalizations annually, nearly 80% of patients who present to the emergency department with decompensated HF (DHF) are hospitalized. Short stay units (SSU) present an alternative to hospitalization, yet the effectiveness of the SSU strategy of care is not well known. This study is to determine the effectiveness of a SSU strategy compared with hospitalization in lower-risk patients with DHF. Our primary outcome was a composite of 30-day mortality and re-hospitalization. Key secondary outcomes included 90-day mortality and re-hospitalization, costs, and 30-day days-alive-and-out-of-hospital (DAOOH). This is a systematic review and meta-analysis, following PRISMA guidelines. MEDLINE, EMBASE, CENTRAL, CINAHL, SCOPUS, and Web of Science were searched from inception through February 2024. Either randomized trials or comparative observational studies were included if they compared outcomes between low-risk ED DHF patients admitted to an SSU (defined as an observation unit with expected stay ≤ 48h) vs. admitted to the hospital. Two authors independently screened all titles and abstracts and then identified full texts for inclusion. Data extraction and risk of bias assessments were performed by two authors in parallel. The primary outcome was a composite of death or readmission within 30days, reported as relative risk (RR), where a RR < 1 favored the SSU strategy. Secondary outcomes included 90-day mortality and re-hospitalization, costs, and 1-month days-alive-and-out-of-hospital (DAOOH). Of the 467 articles identified by our search strategy, only 3 full text articles were included. In meta-analysis for the primary outcome of 30-day death or readmission, the RR was 0.95 (95% CI = 0.56 to 1.63; I2 = 0%) for patients randomized to SSU vs hospitalization (2 studies, 241 patients). There were only 2 total deaths at 30days in the 2 studies (total N = 258) which reported 30-day mortality, both in hospitalized patients. Only one study reported 90-day outcomes, showing no significant differences. Costs were lower in the SSU arm from one study, and 30-day DAOOH also favored SSU based on a single randomized trial. Based on very limited evidence, SSU provides similar efficacy for 30-day and 90-day mortality and readmission compared to hospitalization. An SSU strategy appears safe and may be cost effective.