30-day Hospital Readmission Research Articles

Artificial intelligence informing clinical decision making on the risk of hospital readmissions in multi-morbid patients: a systematic review

Abstract Introduction Multi-morbid patients have complex care needs and are more likely to utilise healthcare services, which represents a financial burden on healthcare organisations. 30-day readmission of patients is a method of measuring the quality of the services provided within healthcare.[1] Artificial intelligence (AI) models can flag multi-morbidity patients at increased risk of readmission.[2] However, it is unclear which common predictors have been used to develop these models. Aim To systematically review the medical literature to identify predictors that have been used to develop AI models that predicted unplanned 30-day hospital readmissions of multi-morbid patients, and whether these predictors were modifiable or non-modifiable. Methods Four large databases: Medline, Embase, Web of Science and Cumulative Index to Nursing and Allied Health Literature (CINAHL) were searched on 15th November 2022. Only publications that developed a machine learning algorithm to predict unplanned 30-day hospital readmission for patients with multi-morbidity were included. Articles published in English language were eligible for inclusion. A narrative synthesis of all eligible studies was undertaken. Key findings were identified through inductive strategy, which includes simplifying raw data in the included articles into a comprehensive format. This systematic review was registered with the PROSPRO database (CRD42022373937) and followed PRISMA guidelines. Results There were 1,906 articles extracted from all databases, 18 of which met our inclusion criteria. A total of 669 predictors of hospital readmission were found, and were divided into 103 modifiable (i.e., action could be taken to change the outcome) and 566 non-modifiable (i.e. age, gender, number of previous emergency admissions. The average number of modifiable predictors per prediction model was six, with the most common being length of hospital stay, multi-morbidity, obesity, hypertension, diabetes, depression, and anaemia. The most commonly used AI algorithm was the gradient boosting algorithm. This algorithm generally showed a better performance than other models reported. The performance of all models in the included studies was compared; 13 studies showed an average sensitivity of 72%. The average specificity was calculated at 73% from 11 studies. The highest AUC reported was above 0.9, which demonstrates an excellent performing model, while five models did not report a value for the AUC. Conclusion We identified modifiable and non-modifiable predictors used in previously developed AI algorithms that predict 30-day hospital readmissions of multi-morbid patients. Modifiable predictors in particular can help guide clinical decision-making by allowing early actions to be taken in primary care to potentially reduce the risk of readmission. However, one limitation of this review is that some included studies used balanced (i.e. synthetic) data which could have introduced a level of bias.

Risk Factors for Undergoing Surgical Intervention for Vertebral Compression Fractures: An Analysis of 703,499 Patients

Study DesignRetrospective Cohort ObjectivesVertebral compression fractures (VCFs) are typically treated nonoperatively, but can be treated with either kyphoplasty or vertebroplasty when indicated. The decision to treat patients with/without surgical intervention is dependent on the severity of deformity and patient risk profile. The aims of this study were to: 1) compare baseline patient demographics, 2) identify risk factors of patients undergoing operative versus nonoperative management, and 3) identify patient-specific risk factors associated with post-operative re-admissions. MethodsThis retrospective database study used patient information from January 1st, 2010, to October 31st, 2021. Cohorts were identified by patients diagnosed with VCFs through International Classification of Disease, Ninth Revision (ICD-9), ICD-10 codes, identifying those undergoing kyphoplasty/vertebroplasty via Current Procedural Terminology (CPT) codes. The two research domains utilized in this investigation were baseline demographic profiles of patients who underwent kyphoplasty or vertebroplasty for treatment of VCFs, and those who underwent nonoperative management served as the control cohort. ResultsOf the 703,499 patients diagnosed with VCFs, 76,126 patients (10.8%) underwent kyphoplasty or vertebroplasty within 90 days of diagnosis of a VCF. Univariate analysis demonstrated female sex was associated with increased risk of undergoing surgical management for VCF (p<0.0001). Several co-morbidities were significantly associated with increased rates of readmission including hypertension, tobacco use, coronary artery disease, and COPD (p <0.0001 for all). ConclusionsThis study highlights specific comorbidities that are significantly associated with higher rates of kyphoplasty or vertebroplasty for the treatment of thoracolumbar wedge compression fractures and increased risk for 90-day post-operative hospital readmission.

Impact of surgeon volume, experience, and training on outcomes after arthroscopic rotator cuff repair: a nationwide analysis of 1489 surgeons

BackgroundGiven the complexity of arthroscopic rotator cuff repair (ARCR) and increasing prevalence, there is a need for comprehensive, large-scale studies that investigate potential correlations between surgeon-specific factors and postoperative outcomes after ARCR. This study examines how surgeon-specific factors including case volume, career length, fellowship training, practice setting, and regional practice impact two-year reoperation rates, conversion to total shoulder arthroplasty (anatomic or reverse) (TSA), and 90-day post-ARCR hospitalization. MethodsThe PearlDiver Mariner Database was used to collect surgeon-specific variables and query patients who underwent ARCR from 2015 to 2018. Patient outcomes were tracked for two years, including reoperations, hospitalizations, and ICD-10 codes for revision rotator cuff repair (RCR) laterality. Hospitalizations were defined as any emergency department (ED) visit or hospital readmission within 90 days after primary ARCR. Surgeon-specific factors including surgeon case volume, career length, fellowship training, practice setting, and regional practice were analyzed in relation to postoperative outcomes using both univariate and multivariate logistic regression. Results94,150 patients underwent ARCR by 1,489 surgeons. On multivariate analysis, high volume surgeons demonstrated a higher risk for two-year total reoperation (OR = 1.06, 95% CI: 1.01-1.12, P = 0.03) and revision RCR (OR = 1.06, 95% CI: 1.01-1.12, P = 0.02) compared to low volume surgeons. Early-career surgeons showed higher rates of 90-day ED visits (mid-career surgeons: OR = 0.78, 95% CI: 0.73-0.83, P < 0.001; late-career surgeons: OR = 0.73, 95% CI: 0.68-0.78, P < 0.001) and hospital readmission (mid-career surgeons: OR = 0.74, 95% CI: 0.63-0.87, P < 0.001; late-career surgeons: OR = 0.73, 95% CI: 0.61-0.88, P = 0.006) compared to mid- and late-career surgeons. Sports Medicine and/or Shoulder and Elbow fellowship-trained surgeons demonstrated lower two-year reoperation risk (OR = 0.95, CI: 0.91-0.99, P = 0.04) and fewer 90-day ED visits (OR = 0.93, 95% CI = 0.88-0.98, P = 0.002). Academic surgeons experienced higher readmission rates compared to community surgeons (OR = 1.16, 95% CI = 1.01-1.34, P = 0.03). Surgeons practicing in the Northeast demonstrated lower two-year reoperation (OR = 0.88, 95% CI: 0.83-0.93, P < 0.001) and revision (OR = 0.88, 95% CI: 0.83-0.94, P < 0.001) rotator cuff repair risk, compared to surgeons in the Southern United States. ConclusionsHigh-volume surgeons exhibit higher two-year reoperation rates after ARCR compared to low-volume surgeons. Early-career surgeons demonstrate increased hospitalizations. Sports Medicine or Shoulder and Elbow Surgery fellowships correlate with reduced two-year reoperation rates and 90-day ED visits.

Simultaneous vs staged bilateral hip arthroplasty: monocentric analysis of satisfaction rate and complications.

Interest in bilateral total hip arthroplasty (THA) has been increasing over the past decade. This study aims to compare postoperative local and systemic complications, hospital readmissions, and satisfaction assessment in patients undergoing simultaneous versus staged bilateral THA. A retrospective observational study was conducted among patients who underwent simultaneous or staged bilateral THA between 2017 and 2020. Data on perioperative parameters, local and systemic complications, and 30-day hospital readmissions were collected. Patient satisfaction was assessed using Forgotten Joint Score (FJS). The comparison of continuous variables with normal distribution of variance was performed by ANOVA; for variables with abnormal distribution, the nonparametric test Mann-Whitney U was adopted. The distribution of dichotomous variables was analyzed by chi-square test, and statistical significance was calculated by Fisher exact test. The study included 199 patients, of whom 156 underwent staged and 43 simultaneous bilateral THA. A total of 44 patients developed complications (21 systemics, 12 locals, and 20 postoperative anemia). There were no significant differences regarding local (simultaneous 5% vs. staged 6%; p = 0.999) or systemic complications (simultaneous 14% vs. staged 10%; p = 0.408). Only the incidence of postoperative anemia was significantly higher in simultaneous group compared with staged group (p = 0.003).There were no significant differences in FJS between the two groups (p = 0.258). No differences in local or systemic complications nor readmission rates were observed following simultaneous or staged bilateral THA. Simultaneous bilateral THA is non-inferior to staged implants in terms of safety and patient satisfaction.

Pharmacist, nurse, and physician perspectives on the implementation of the pharmacist discharge care (pharm-dc) intervention: A qualitative study

BackgroundThe PHARMacist Discharge Care (PHARM-DC) intervention is a pharmacist-led Transitions of Care (TOC) program intended to reduce 30-day hospital readmissions and emergency department visits which has been implemented at two hospitals in the United States. The objectives of this study were to: 1) explore perspectives surrounding the PHARM-DC program from healthcare providers, leaders, and administrators at both institutions, and 2) identify factors which may contribute to intervention success and sustainability. MethodsFocus groups and interviews were conducted with pharmacists, physicians, nurses, hospital leaders, and pharmacy administrators at two institutions in the Northeastern and Western United States. Interviews were audio recorded and transcribed, with transcriptions imported into NVivo for qualitative analysis. Thematic analysis was performed using an iterative process, with two study authors independently coding transcripts to identify themes. ResultsOverall, 37 individuals participated in ten focus groups and seven interviews. The themes identified included: 1) Organizational, Pharmacist, and Patient Factors Contributing to Transitions of Care, 2) Medication Challenges in Transitions of Care at Admission and Discharge, 3) Transitions of Care Communication and Discharge Follow-up, and 4) Opportunities for Improvement and Sustainability. The four themes were mapped to the constructs of the CFIR and RE-AIM frameworks. Some factors facilitating intervention success and sustainability were accurate medication histories collected on admission, addressing medication barriers before discharge, coordinating discharge using electronic health record discharge features, and having a structured process for intervention training and delivery. Barriers to intervention implementation and sustainability included gaps in communication with other care team members, and variable pharmacist skills for delivering the intervention. This study identified that using educational resources to standardize the TOC process addressed the issue of variations in pharmacists’ skills for delivering TOC interventions. ConclusionsNurses, physicians, pharmacists, pharmacist leaders, and hospital administrators were in agreement regarding the usefulness of the PHARM-DC intervention, while acknowledging challenges in its implementation and opportunities for improvement. Future research should focus on developing training materials to standardize and scale the intervention, eliminating barriers to medication access pre-discharge, coordinating discharge across care team members, and communicating medication changes to primary care providers post-discharge.

Analyzing Monthly Blood Test Data to Forecast 30-Day Hospital Readmissions among Maintenance Hemodialysis Patients.

Background: The increase in the global population of hemodialysis patients is linked to aging demographics and the prevalence of conditions such as arterial hypertension and diabetes mellitus. While previous research in hemodialysis has mainly focused on mortality predictions, there is a gap in studies targeting short-term hospitalization predictions using detailed, monthly blood test data. Methods: This study employs advanced data preprocessing and machine learning techniques to predict hospitalizations within a 30-day period among hemodialysis patients. Initial steps include employing K-Nearest Neighbor (KNN) imputation to address missing data and using the Synthesized Minority Oversampling Technique (SMOTE) to ensure data balance. The study then applies a Support Vector Machine (SVM) algorithm for the predictive analysis, with an additional enhancement through ensemble learning techniques, in order to improve prediction accuracy. Results: The application of SVM in predicting hospitalizations within a 30-day period among hemodialysis patients resulted in an impressive accuracy rate of 93%. This accuracy rate further improved to 96% upon incorporating ensemble learning methods, demonstrating the efficacy of the chosen machine learning approach in this context. Conclusions: This study highlights the potential of utilizing machine learning to predict hospital readmissions within a 30-day period among hemodialysis patients based on monthly blood test data. It represents a significant leap towards precision medicine and personalized healthcare for this patient group, suggesting a paradigm shift in patient care through the proactive identification of hospitalization risks.

Characteristics and Predictors Associated with 30-day Hospital Readmissions to Adult Neurology Services in a Large Academic Hospital (P2-15.004)

Characteristics and Predictors Associated with 30-day Hospital Readmissions to Adult Neurology Services in a Large Academic Hospital (P2-15.004)

Factors Associated With Episode of Care Adverse Events After Humerus Nonunion Repair.

Humeral nonunions have devastating negative effects on patients' upper extremity function and health-related quality of life. The objective of this study was to identify factors independently associated with 30-day complication, hospital readmission, and reoperation after surgical treatment of humeral nonunions. A retrospective case-control study was performed using the American College of Surgeons National Surgical Quality Improvement Program database by querying the Current Procedural Terminology codes for patients who underwent humeral nonunion repair from 2011 to 2020. The study outcomes were 30-day complication, hospital readmission, and reoperation. Of the 1306 patients in our cohort, 135 patients (10%) developed a complication, 66 patients (5%) were readmitted to the hospital, and 44 patients (3%) underwent reoperation during the 30-day postoperative period. Multivariable logistic regression analysis showed that older age, longer operative time, partially dependent functional status, congestive heart failure, bleeding disorder, and contaminated wound classification were associated with 30-day complication after humeral nonunion repair. Older age and disseminated cancer were associated with 30-day reoperation after humeral nonunion repair. Disseminated cancer was associated with 30-day readmission after humeral nonunion repair. Using a large database over a recent 10-year period, we identified demographic and comorbid factors independently associated with episode of care adverse events after humeral nonunion repair. Patients 50 years or older had approximately three times the incidence of complications, readmissions, and reoperations in the first month after humeral nonunion repair compared with patients younger than 50 years. Our findings are relevant for preoperative risk stratification and counseling. [Orthopedics. 2024;47(4):e181-e187.].

Perioperative intravenous dexamethasone use is not associated with periprosthetic joint infection or wound healing complications following shoulder arthroplasty

BackgroundPerioperative intravenous (IV) dexamethasone is commonly used in lower extremity total joint arthroplasty to manage postoperative pain and nausea/vomiting, and recent studies have demonstrated that its use may lower rates of acute postoperative medical complications. However, there is limited information regarding the safety and efficacy of IV dexamethasone in patients undergoing total shoulder arthroplasty (TSA). Additionally, there is concern surrounding corticosteroid use prior to surgery as preoperative corticosteroid injections have been associated with adverse outcomes after TSA, including periprosthetic joint infection (PJI) and revision surgery. Thus, the purpose of this study was to evaluate the effect of perioperative IV dexamethasone on 90-day rates of PJI, wound complications, and medical complications after TSA. MethodsThe Premiere national hospital database was used to identify adult patients undergoing elective TSA between 2016 and 2020; patients were excluded if they were under 18 years old, were undergoing revision TSA, or had a prior proximal humerus open reduction internal fixation (ORIF) procedure. Patients who did and did not receive perioperative IV dexamethasone were then compared in both univariate and multivariate analyses. A Bonferroni correction was utilized to adjust for multiple comparisons. The primary endpoint was risk of acute infectious complications within 90 days of surgery, including PJI and wound infection/dehiscence. Secondary endpoints included acute pulmonary, renal, and thromboembolic complications. ResultsA total of 135,333 patients underwent TSA during the study period; 61.2% underwent reverse total shoulder arthroplasty (RTSA), 33.8% underwent anatomic total shoulder arthroplasty (ATSA), and 5.0% underwent hemiarthroplasty (HA). From 2016 to 2020, perioperative IV dexamethasone use increased by 135%. Multivariate analysis revealed that patients who received perioperative IV dexamethasone did not have increased odds of PJI, superficial wound infection, or wound dehiscence (p = 0.15 – 0.47) but did have decreased odds of sepsis (OR 0.67, 95% CI 0.55-0.81) and other medical complications such as urinary tract infection (UTI) and acute kidney injury (AKI). Additionally, there was a trend towards decreased 90-day hospital readmission (OR 0.88, 95% CI 0.81-0.96, p=0.003). ConclusionsPerioperative IV dexamethasone was not associated with increased risk of acute infectious and wound healing complications. Moreover, patients who received perioperative IV dexamethasone had decreased odds of medical complications and trended towards lower rates of 90-day hospital readmission. The results of this study support the safety of perioperative IV dexamethasone use in patients undergoing elective TSA.

Rate and Causes of 30-day Unplanned Readmission/Return Following Head and Neck Surgery at a Tertiary Care Center in Saudi Arabia.

Identifying and targeting common preventable causes of 30-day hospital readmissions could help improve survival rates and reduce the healthcare burden. To determine the rate and causes of unplanned hospital return/readmission to the Outpatient Department (OPD) or Emergency Department (ED) within 30 days after discharge following head and neck surgery (HNS) at a tertiary hospital in Western Saudi Arabia. This retrospective study included all adult patients (aged ≥18 years) who had undergone HNS at King Abdulaziz University Hospital, Jeddah, Saudi Arabia, between January 2015 and December 2022 and returned to the OPD or ED within 30 days of being discharged. Of 1041 patients who had undergone HNS, 84 (8.1%) returned to the hospital within 30 days after discharge: 63 (6.1%) to the OPD and 21 (2.0%) to the ED. A total of 9 (0.9%) patients were readmitted as inpatients, most commonly for infections (33.3%) and neurological symptoms, including weakness and seizures (22.2%). For OPD visits, common causes were wound swelling (25.4%) and neurological symptoms (17.5%). For ED returns, frequent causes were neurological symptoms (23.8%) and surgical site bleeding (19.1%). Readmission was associated with intensive care unit (ICU) admission during the primary hospital stay (P = 0.003) and higher preoperative baseline health burdens when examined using the American Society of Anesthesiology score (P = 0.022), the Cumulative Illness Rating Scale (P = 0.007), and the Charlson Comorbidity Index (CCI) (P = 0.006). The rate of 30-day unplanned hospital return following head and neck surgery was 6.1% and 2.0% through the OPD and the ED, respectively; 0.9% were readmitted as inpatients. Common causes of return included wound swelling, infections, bleeding, and neurological symptoms.

Robotic gastrectomy is safe in geriatric patients with gastric cancer: a retrospective cohort study.

The efficacy of robotic surgery in oncological operations has been demonstrated, but its applicability in the elderly population (≥70 years) is limited in studies. This study aims to investigate the feasibility, safety, and short-term outcomes of robotic surgery in gastric cancer surgery in geriatric patients. Patients who underwent robotic surgery for gastric cancer between July 2021 and September 2023 were included in the study. Patients were divided into two groups: the elderly group (≥70 years) and the younger group (<70 years). Demographic data, clinical findings, perioperative outcomes, and pathology results were analyzed and compared between the two groups. 63 patients were included in our study. Group 1, the younger patients (<70 years), consisted of 44 patients, while Group 2, the older patients (>70 years), consisted of 19 patients. The male gender was dominant in both groups (70.5% vs. 78.9%, p=0.486). ASA 2 was the most common score in both groups (70.5% vs. 52.6%, p=0.261). Group 2 had lower hemoglobin (11.3 vs. 10.1, p=0.017) and albumin levels (39.9 vs. 37.6, p=0.049). The average operation times were similar in both groups (255 min vs. 242 min, p=0.457). The median postoperative hospital stay was 5 days in both groups. The distributions of postoperative complications according to the Clavien-Dindo classification were similar. Postoperative 30-day mortality was observed in one patient in Group 2. The 90-day hospital readmission rates were similar (11.3% vs. 10.6%, p=0.459). The average tumor diameters were similar (38 mm vs. 48 mm, p=0.165), as were the numbers of dissected lymph nodes (35 vs. 34, p=0.796). According to pathology results, T4a tumors were most common in Group 1 and T0 tumors in Group 2 (34.1% vs. 31.6%, p=0.149). The most common lymph node involvements were N0 in Group 1 and N1 in Group 2 (36.4% vs. 36.8%, p=0.515). Robotic surgery in gastric cancer is considered a safe and feasible method in the elderly population due to its successful early outcomes, suggesting its reliability and effectiveness.

Efficacy and safety of single-dose anti-thymocyte globulin versus basiliximab induction therapy in pediatric kidney transplant recipients: A retrospective comparative cohort study.

This study aimed to compare the efficacy and safety of basiliximab (BAS) versus a single dose of anti-thymocyte globulin (r-ATG) induction therapy in pediatric kidney transplant recipients (KTRs). This single-center retrospective comparative cohort study included all pediatric KTRs from May 2013 to April 2018 and followed up to 12 months. In the first period, all recipients received BAS, while from May 2016, a single 3 mg/kg dose of r-ATG was instituted. Maintenance therapy consisted of a calcineurin inhibitor plus prednisone plus azathioprine or mycophenolate. A total of 227 patients were included (BAS, n = 113; r-ATG, n = 114). The main combination of immunosuppressive drugs was tacrolimus, prednisone, and azathioprine in both groups (87% vs. 88%, p = .718). Patients receiving r-ATG showed superior survival-free of the composite endpoint (acute rejection, graft loss, or death; 76% vs. 61%, p = .003; HR 2.08, 1.29-3.34, p = .003) and lower incidence of biopsy-proven acute rejection (10% vs. 21%, p = .015). There was no difference in the overall incidence of CMV infection (33% vs. 37%, p = .457), PTLD (1% vs. 3%, p = .309), 30-day hospital readmissions (24% vs. 23%, p = .847), and kidney function at 12 months (86 ± 29 vs. 84 ± 30 mL/min/1.73m2, p = .614). These data suggest that induction therapy with a single 3 mg/kg dose of r-ATG is associated with higher efficacy for preventing acute rejection and similar safety profile compared to BAS.

Pediatric hospital utilization for patients with avoidant restrictive food intake disorder

BackgroundAvoidant restrictive food intake disorder (ARFID) is a relatively new feeding and eating disorder added to the DSM-5 in 2013 and ICD-10 in 2018. Few studies have examined hospital utilization for patients with ARFID specifically, and none to date have used large administrative cohorts. We examined inpatient admission volume over time and hospital utilization and 30-day readmissions for patients with ARFID at pediatric hospitals in the United States.MethodsUsing data from the Pediatric Health Information System (PHIS), we identified inpatient admissions for patients with ARFID (by principal International Classification of Diseases, 10th Revision, ICD-10 diagnosis code) discharged October 2017–June 2022. We examined the change over time in ARFID volume and associations between patient-level factors (e.g., sociodemographic characteristics, co-morbid conditions including anxiety and depressive disorders and malnutrition), hospital ARFID volume, and hospital utilization including length of stay (LOS), costs, use of enteral tube feeding or GI imaging during admission, and 30-day readmissions. Adjusted regression models were used to examine associations between sociodemographic and clinical factors on LOS, costs, and 30-day readmissions.ResultsInpatient ARFID volume across n = 44 pediatric hospitals has increased over time (β = 0.36 per month; 95% CI 0.26–0.46; p < 0.001). Among N = 1288 inpatient admissions for patients with ARFID, median LOS was 7 days (IQR = 8) with median costs of $16,583 (IQR = $18,115). LOS and costs were highest in hospitals with higher volumes of ARFID patients. Younger age, co-morbid conditions, enteral feeding, and GI imaging were also associated with LOS. 8.5% of patients were readmitted within 30 days. In adjusted models, there were differences in the likelihood of readmission by age, insurance, malnutrition diagnosis at index visit, and GI imaging procedures during index visit.ConclusionsOur results indicate that the volume of inpatient admissions for patients with ARFID has increased at pediatric hospitals in the U.S. since ARFID was added to ICD-10. Inpatient stays for ARFID are long and costly and associated with readmissions. It is important to identify effective and efficient treatment strategies for ARFID in the future.

Multi-trajectories of symptoms and their associations with unplanned 30-day hospital readmission among patients with heart failure: a longitudinal study.

This study aimed to uncover hidden patterns and predictors of symptom multi-trajectories within 30 days after discharge in patients with heart failure and assess the risk of unplanned 30-day hospital readmission in different patterns. The study was conducted from September 2022 to September 2023 in four third-class hospitals in Tianjin, China. A total of 301 patients with heart failure were enrolled in the cohort, and 248 patients completed a 30-day follow-up after discharge. Three multi-trajectory groups were identified: mild symptom status (24.19%), moderate symptom status (57.26%), and severe symptom status (18.55%). With the mild symptom status group as a reference, physical frailty, psychological frailty, and comorbid renal dysfunction were predictors of the moderate symptom status group. Physical frailty, psychological frailty, resilience, taking diuretics, and comorbid renal dysfunction were predictors of the severe symptom status group. Compared with the mild symptom status group, the severe symptom status group was significantly associated with high unplanned 30-day hospital readmission risks. This study identified three distinct multi-trajectory groups among patients with heart failure within 30 days after discharge. The severe symptom status group was associated with a significantly increased risk of unplanned 30-day hospital readmission. Common and different factors predicted different symptom multi-trajectories. Healthcare providers should assess the physical and psychological frailty and renal dysfunction of patients with heart failure before discharge. Inpatient care aimed at alleviating physical and psychological frailty and enhancing resilience may be important to improve patients' symptom development post-discharge.

Safety and efficacy of day anterior cervical discectomy and fusion procedure for degenerative cervical spondylosis: a retrospective analysis

ObjectiveOur study aimed to develop a day anterior cervical discectomy and fusion (ACDF) procedure to treat degenerative cervical spondylosis (DCS). The goal was to analyze its clinical implications, safety, and early effects to provide a better surgical option for eligible DCS patients.MethodsA retrospective analysis was performed to identify DCS patients who underwent day ACDF from September 2022 to August 2023. The operative time, intraoperative blood loss, postoperative drainage, preoperative and postoperative visual analog scale (VAS) scores, neck disability index (NDI) scores, Japanese Orthopedic Association (JOA) scores, JOA recovery rate (RR), incidence of dysphagia-related symptoms, 30-day hospital readmission rate, and incidence of other complications were recorded to evaluate early clinical outcomes. Radiography was performed to assess the location of the implants, neurological decompression, and cervical physiological curvature.ResultsAll 33 patients (23 women and 10 men) underwent successful surgery and experienced significant symptomatic and neurological improvements. Among them, 26 patients underwent one-segment ACDF, 5 underwent two-segment ACDF, and 2 underwent three-segment ACDF. The average operative time was 71.1 ± 20.2 min, intraoperative blood loss was 19.1 ± 6.2 mL, and postoperative drainage was 9.6 ± 5.8 mL. The preoperative VAS and NDI scores improved postoperatively (7.1 ± 1.2 vs. 3.1 ± 1.3 and 66.7% ± 4.8% vs. 24.1% ± 2.5%, respectively), with a significant difference (P < 0.01). Moreover, the preoperative JOA scores improved significantly postoperatively (7.7 ± 1.3 vs. 14.2 ± 1.4; P < 0.01) with an RR of 93.9% in good or excellent. Postoperative dysphagia-related symptoms occurred in one patient (3.0%). During the follow-up period, no patient was readmitted within 30 days after discharge; however, an incisional hematoma was reported in one patient on the 6th day after discharge, which was cured by pressure dressing. The postoperative radiographs revealed perfect implant positions and sufficient nerve decompression in all patients. Furthermore, the preoperative cervical physiological curvature improved significantly after the operation (14.5° ± 4.0° vs. 26.3° ± 5.4°; P < 0.01).ConclusionsDay ACDF has good safety and early clinical efficacy, and it could be an appropriate choice for eligible DCS patients.

Risk factors for readmission after a cholecystectomy: a case-control study.

The aim of this study was to assess the risk factors associated with 30-day hospital readmissions after a cholecystectomy. We conducted a case-control study, with data obtained from UC-Christus from Santiago, Chile. All patients who underwent a cholecystectomy between January 2015 and December 2019 were included in the study. We identified all patients readmitted after a cholecystectomy and compared them with a randomized control group. Univariate and multivariate analyses were conducted to identify risk factors. Of the 4866 cholecystectomies performed between 2015 and 2019, 79 patients presented 30-day hospital readmission after the surgical procedure (1.6%). We identified as risk factors for readmission in the univariate analysis the presence of a solid tumor at the moment of cholecystectomy (OR = 7.58), high pre-operative direct bilirubin (OR = 2.52), high pre-operative alkaline phosphatase (OR = 3.25), emergency admission (OR = 2.04), choledocholithiasis on admission (OR = 4.34), additional surgical procedure during the cholecystectomy (OR = 4.12), and post-operative complications. In the multivariate analysis, the performance of an additional surgical procedure during cholecystectomy was statistically significant (OR = 4.24). Performing an additional surgical procedure during cholecystectomy was identified as a risk factor associated with 30-day hospital readmission.

Enteral nutrition on discharge from intensive care and 30-day unplanned readmission: An exploratory, retrospective study of association

Individuals who survive critical illness are often malnourished with inadequate oral nutrient intake after leaving the intensive care unit (ICU). Enteral nutrition (EN) improves nutrient intake but there is limited evidence on the impact of maintaining EN after discharge from the ICU. The objective of this exploratory study was to understand the association between EN maintenance after ICU and 30-day unplanned hospital re-admission, to inform on future prospective research into the effects of post-ICU nutrition. This was a single-centre, retrospective study of ICU patients, requiring ventilation, who received EN for at least 3 days in ICU and were discharged to the ward. 102 patients met the inclusion criteria; 45 (44.1%) maintained EN and 57 (55.9%) discontinued EN after ICU discharge; there were no significant differences in demographics or clinical measures at ICU admission. Reason for EN discontinuation was documented in 38 (66.7%) patients, with 27 (71%) discontinuing EN due to a routine ward practice of feeding tube removal. Unplanned 30-day hospital re-admission occurred in 17 (16.7%) patients overall, 5 (11.1%) in the EN group and 12 (21.1%) in the non-EN group (crude odds ratio [OR] 0.47, 95% CI 0.15, 1.45, p=0.188). After adjusting for age, sex, BMI and length of stay, there was a persistent trend to lower re-admission rates in the EN group (OR 0.37, 95% CI 0.09, 1.57, p=0.176). EN maintenance after ICU discharge was associated with a trend to lower 30-day unplanned hospital re-admission rates. The clinically relevant reduction of about 50% in unplanned re-admission rates in this exploratory study warrants larger, prospective studies of post-ICU nutrition strategies based on clear discontinuation criteria to optimize nutrition and evaluate patient-centred outcomes.

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.

Application of machine learning algorithms to predict 30-day hospital readmission following cement augmentation for osteoporotic vertebral compression fractures

ObjectiveOsteoporosis is a common skeletal disease that greatly increases the risk of pathologic fractures and accounts for approximately 700,000 vertebral compression fractures (VCFs) annually in the United States. Cement augmentation procedures such as balloon kyphoplasty (KP) and percutaneous vertebroplasty (VP) have demonstrated efficacy in the treatment of VCFs, however, some studies report rates of readmission as high as 10.8% following such procedures. The purpose of this study was to employ Machine Learning (ML) algorithms to predict 30-day hospital readmission following cement augmentation procedures for the treatment of VCFs using the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database. MethodsACS-NSQIP was queried to identify patients undergoing either KP or VP from 2011 to 2014. Three ML algorithms were constructed and tasked with predicting post-operative readmissions within this cohort of patients. Results: Postoperative pneumonia, ASA Class 2 designation, age, partially-dependent functional status, and a history of smoking were independently identified as highly predictive of readmission by all ML algorithms. Among these variables postoperative pneumonia (p < 0.01), ASA Class 2 designation (p < 0.01), age (p = 0.002), and partially-dependent functional status (p < 0.01) were found to be statistically significant. Predictions were generated with an average AUC value of 0.757 and an average accuracy of 80.5%. ConclusionsPostoperative pneumonia, ASA Class 2 designation, partially-dependent functional status, and age are perioperative variables associated with 30-day readmission following cement augmentation procedures. The use of ML allows for quantification of the relative contributions of these variables toward producing readmission.

Integrating Fall Prevention Strategies into EMS Services to Reduce Falls and Associated Healthcare Costs for Older Adults.

The purpose of this study is to detail the implementation of fall prevention initiatives through emergency medical services (EMS) and associated outcomes. Paramedics with MedStar Mobile Healthcare utilized the Stopping Elderly Accidents, Deaths, and Injuries (STEADI) fall prevention model to screen and direct intervention through 9-1-1 emergency response, High Utilization Group (HUG), and 30-day Hospital Readmission Avoidance (HRA) programs. Outcomes from 9-1-1 calls measured the number of older adults screened for falls and identified risk factors. The HUG and HRA programs measured change in quality of life with EuroQol-5D, referral service utilization, falls, emergent healthcare utilization, and hospital readmission data. Analysis included costs associated with reduced healthcare usage. Emergency paramedics provided fall risk screening for 50.5% (n=45,090) of adults aged 65 and older and 59.3% were at risk of falls, with 48.1% taking medications known to increase the risk of falls. Services provided through the HUG and HRA programs, along with additional needed referral services, resulted in a 37.2% reduction in fall-related 9-1-1 calls and a 29.5% increase in overall health status related to quality of life. Analysis of the HUG program revealed potential savings of over $1 million with a per-patient enrolled savings of $19,053. The HRA program demonstrated a 16.4% hospital readmission rate, in comparison to a regional average of 30.2%, and a cost-savings of $4.95 million or $15,618 per enrolled patient. Implementation of the STEADI model into EMS services provides an effective and cost-saving model for addressing fall prevention for older adults, provides meaningful and impactful improvement for older adults, and could serve as a model for other EMS programs.