Risk Of Hospital Readmission Research Articles

Explainable machine learning and multi-modal data for predicting readmission in patients with heart failure

Abstract Background Cardiovascular diseases (CVDs) are among the leading causes of mortality and morbidity globally, with an estimated 1 million hospital admissions for CVD in England in 2019/20, leading to 5.5 million bed days. In addition, patients with CVDs have a notably high rate of hospital readmission, with approximately one in four patients experiencing heart failure (HF) being readmitted within one month of discharge. We explored whether machine learning models trained on electrocardiogram (ECG) and patient electronic health records (EHRs) can support decision-making and risk management and ultimately improve health outcomes for HF patients. Purpose The project aims to develop a machine learning model to predict health outcomes for HF patients. To test the hypothesis, we trained and tested an explainable machine learning model to predict the risk of mortality and hospital readmission rate for HF patients. Methods We used EHR data and tabulated ECG records to train an XGBoost model to predict the risk of 30-day mortality and 30-day hospital readmission for HF patients. EHR data from a cohort of 2,868 patients with their ECG records were used for model development. We extracted a total of 78 features from the ECG data, such as heart rate variability (HRV), P-wave durations, and QT intervals. These ECG features were combined with coded and free-text EHR data (e.g., demographic information, diagnosis, medication history, and lab results) and used as tabular inputs to the XGBoost model. Of the 2,868 patients, an internal set of 574 patients stratified by age, sex, and health outcomes (30-day mortality and 30-day hospital readmission) were held out for testing. Results Among 2,868 HF patients with 10-year follow-up, 1065 patients were reported for mortality or hospital readmission within 30 days of discharge. When the machine learning model was trained on ECG data in addition to EHR data, the model was able to predict patient mortality and hospital readmission rate in the test set with an area under the curve (AUC) of 0.91 and 0.70, respectively. For mortality prediction, the model achieved a sensitivity and specificity of 0.81 and 0.82, respectively, when employing an operating point with minimum difference between the sensitivity and specificity. When the threshold was adjusted to favor sensitivity at 0.91, the model specificity decreased to 0.74. The machine learning model also identified high sensitive troponin levels, QT dispersion, and lactate dehydrogenase levels as features of high importance for predicting the outcomes for HF patients. Conclusions Our developed machine learning model was able to predict mortality and readmission risks in HF patients using multi-modal data. Upon further validation, the machine learning model has the potential to be tested for supporting clinical decision-making and risk management for HF patients.ROC CurveFeature Importance

Predicting hospital readmission in multimorbid patients with the use of AI: A systematic review

Abstract Background Multimorbid patients are at higher risk of hospital readmission due to the complex nature of their conditions. Identifying those who may be at particularly high risk would allow us to intervene early and potentially delay or prevent such readmissions occurring, thus reducing healthcare costs. We conducted a systematic review investigating the use of machine learning models in predicting 30-days unplanned hospital readmission of multimorbid patients. Methods This review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Guidelines, and was registered with PROSPERO (CRD42022373937). We searched MEDLINE, Embase, Web of Science and Cumulative Index to Nursing and Allied Health Literature (CINAHL). Included studies developed an AI model for prediction of 30-days hospital readmission for adult patients with two or more health conditions. The CHARM and PROBAST checklists for data extraction and bias assessment were used. The quality of included studies was assessed with the CASP checklist. Results Eighteen papers were eligible for inclusion. A total of 669 predictors were reported with an average of 37 used per model. Predictors were classified as modifiable and non-modifiable with the most common modifiable predictors being hospital length of stay, hypertension, anaemia and obesity. Average sensitivity and specificity of the models was reported to be 72% in 13 studies and 79.2 in 11 studies, respectively. Area under the curve (AUC) was reported in 13 studies, five of which were considered to have good discrimination power (AUC>0.8). Conclusions Machine learning models are capable of accurately predicting 30-days hospital readmission of multimorbid patients. Identifying modifiable predictors with highest weight allows for better planning and resource allocation to potentially reduce the risk of 30-days readmissions. An important area for future work would be the implementation of these high performance models in practice. Key messages • Hospital readmissions are preventable and identifying those at higher risk allows us to intervene early. • Machine learning models are capable of predicting 30-days readmission of multimorbid patients.

Exploring the association between surgical out-of-pocket costs and healthcare quality outcomes: A retrospective cohort study

Rising out-of-pocket (OOP) costs paid by healthcare consumers can inhibit access to necessary healthcare. Yet it is unclear if higher OOP payments are associated with better care quality. This study aimed to identify the individual and socio-contextual predictors of OOP costs and to explore the association between OOP costs and quality of care outcomes for four surgical procedures. A retrospective cohort analysis was conducted using data from Medibank Private health insurance members aged ≥18 years who underwent hip replacement, knee replacement, cholecystectomy and radical prostatectomy during 2015-2020 across >300 hospitals in Australia. Healthcare quality outcomes investigated were hospital-acquired complications (HACs), unplanned intensive care unit (ICU) admissions, prolonged length of stay (LOS) and readmissions within 28 days. Socio-contextual determinants of OOP costs examined were patient demographics, socioeconomic status, health insurance, and procedure complexity. Generalized linear mixed modelling examined the risk of each outcome, adjusting for covariates and considering patients clustering within surgeons and hospitals. Patients were more likely to pay OOP costs if they were aged 65-74 years compared to aged 18-44 years for all four surgical procedures. No association between OOP payments and the risk of HACs, ICU admission, or hospital readmission was identified. Patients who paid OOP costs were less likely to have a prolonged LOS for all four procedure types. Higher OOP payments weren't linked to improved care quality except for shorter hospital stays. Greater transparency on OOP costs is needed to inform consumer decisions.

Complications and revision rates after total shoulder arthroplasty are similar between patients with and without diabetes mellitus

Purpose There is wide variability in the conclusions of studies examining the effects of diabetes mellitus (DM) on outcomes of shoulder arthroplasty (SA). The objective of this study was to determine if there are differences in complication profiles between patients with DM and those without undergoing anatomic and reverse total SA. Methods A retrospective review of patients undergoing SA in a single center from January 2014 to December 2019 was performed. Patients were then stratified into two cohorts, patients with controlled DM (mean hemoglobin A1C < 7%) and those without. Outcomes analyzed included intraoperative complications, postoperative complications, and revision surgery rates. Emergency department (ED) visits and hospital readmissions within 30 days were also recorded. Results A total of 595 patients underwent SA. No significant difference was found between the diabetes ( n = 151) and control group ( n = 444) with regard to length of stay ( P = .168), complications ( P = .286), infection rate ( P = .977), 30-day ED visits ( P = .789), and readmissions ( P = .230). The average time to revision was 26.8 months in the diabetes group and 26.6 months in the control group ( P = .989). Conclusions Following SA patients with controlled DM showed no increased risk of postoperative infection, ED visitation,hospital readmission, and revision surgery rate when compared to non-diabetics. Level of evidence Level III—retrospective cohort.

Early statin use is associated with improved survival and cardiovascular outcomes in patients with atrial fibrillation and recent ischaemic stroke: A propensity-matched analysis of a global federated health database.

Statins reduce recurrent stroke and cardiovascular events in patients with non-cardioembolic stroke. The benefits of statins in patients with AF and recent IS remain unclear. We aimed to investigate the benefits of statins in patients with AF and recent IS. This retrospective, cohort study was conducted using deidentified electronic medical records within TriNetX platform. Patients with AF and recent IS, who received statins within 28 days of their index stroke were propensity score-matched with those who did not. Patients were followed up for up to 2 years. Primary outcomes were the 2-year risk of recurrent IS, all-cause mortality and the composite outcome of all-cause mortality, recurrent IS, transient ischaemic attack (TIA), and acute myocardial infarction (MI). Secondary outcomes were the 2-year risk of TIA, intracranial haemorrhage (ICH), acute MI, and hospital readmission. Cox regression analyses were used to calculate hazard ratios (HRs) with 95% confidence intervals (95%CI). Of 20,902 patients with AF and recent IS, 7500 (35.9%) received statins within 28 days of their stroke and 13,402 (64.1%) did not. 11,182 patients (mean age 73.7 ± 11.5; 5277 (47.2%) female) remained after propensity score matching. Patients who received early statins had significantly lower risk of recurrent IS (HR: 0.45, 95%CI: 0.41-0.48, p < 0.001), mortality (HR: 0.75, 95%CI: 0.66-0.84, p < 0.001), the composite outcome (HR: 0.48, 95%CI: 0.45-0.52, p < 0.001), TIA (HR: 0.37, 95%CI: 0.30-0.44, p < 0.001), ICH (HR: 0.59, 95%CI: 0.47-0.72, p < 0.001 ), acute MI (HR: 0.35, 95%CI: 0.30-0.42, p < 0.001) and hospital readmission (HR: 0.46, 95%CI: 0.42-0.50, <0.001). Beneficial effects of early statins were evident in the elderly, different ethnic groups, statin dose intensity, and AF subtypes, large vessel occlusion and embolic strokes and within the context of statin lipophilicity, optimal LDL-cholesterol levels, various cardiovascular comorbidities, treatment with intravenous thrombolysis or endovascular thrombectomy, and NIHSS 0-5 and NIHSS > 5 subgroups. Patients with AF and recent IS, who received early statins, had a lower risk of recurrent stroke, death, and other cardiovascular outcomes including ICH, compared to those who did not.

Healthcare Resource Utilization Following Acute Myocardial Infarction Findings from RECORD-MI Registry: Healthcare Utilization after Myocardial Infarction

The contemporary health care resource utilization after an acute myocardial infarction (MI) is not well-known. All patients admitted because of MI between January 2015 and December 2021 across 28 hospitals in the Baylor Scott & White Health system were studied. Patient characteristics and outcomes, including all-cause and cardiovascular (CV) rehospitalizations, emergency department (ED) visits, and outpatient visits were evaluated. Of 6,804 patients admitted because of MI, 6,556 were discharged alive. The median age was 69 years, 60% were men, and 77% had non-ST-elevation MI; 17% (1,090) had multivessel disease. The number of patients with first all-cause readmissions within 30 days, 3 months, and 12 months of discharge were 844 (13%), 1,372 (21%), and 2,306 (35%), respectively, with a higher readmission rate in patients with non-ST-elevation MI, previous heart failure (HF), new-onset HF, and left ventricular ejection fraction ≤40%. ED visits at 12 months for any cause were 2,401 (37%), of which 1,321 (55%) were for any CV cause, with a higher incidence in patients with previous HF. Of the 6,556 patients, 4,102 (63%) had at least 1 primary care visit in the past year, 5,009 (76%) had CV specialty visits, and 3,860 (59%) had non-CV visits, with a similar distribution across subgroups. Patients hospitalized with an MI had a high risk of subsequent hospital readmissions and ED and outpatient visits, especially those with a previous HF diagnosis and those discharged with an MI and HF diagnosis.

537. ASSESSING THE EFFECT OF HIATAL HERNIA SIZE ON PERIOPERATIVE OUTCOMES AND HOSPITAL READMISSION RATES AFTER PRIMARY REPAIR

Abstract Background Minimally invasive hiatal hernia (HH) repair remains the gold standard for correcting mechanical defects due to its safety and favorable clinical outcomes (i.e., relief of patient symptoms). However, several operative factors, including the HH size, may negatively impact the postoperative course. We aimed to determine if an increase in HH size was related to an increased risk of perioperative complications or hospital readmissions. Methods After IRB approval, we performed a retrospective analysis using a prospectively maintained database containing demographic, perioperative, and clinical data from all patients who underwent HH repair by a single experienced foregut surgeon between September 2016 and July 2023. Four groups were defined based on the proportion of stomach at the thoracic cavity determined during the surgery: A (small HH: &amp;lt;25%), B (moderate HH: 25-49%), C (large HH: 50-74%), and D (intrathoracic stomach [ITS]: ≥75%). Non-parametric tests were used to assess differences between the groups, and logistic regressions were used to determine the relevant odds ratios (OR). Results A total of 391 patients who underwent primary HH repair met the inclusion criteria (73.7% women; mean age 64.4±12.5 years; mean BMI 28.9±4.9 kg/m2). The distribution of groups was: A (n=160, 40.9%), B (n=63, 16.1%), C (n=64, 16.4%), and D (n=104, 26.6%). Patients presenting with ITS (group D) were older, had longer operative duration, greater blood loss (p&amp;lt;.001), and a significantly increased risk of presenting with early postoperative complications (OR 2.78 [CI95: 1.52-5.06]) and being admitted to the ICU (OR 12.35 [CI95: 3.41-44.71]). Conclusion The HH size, defined by the proportion of the stomach at the thoracic cavity, is associated with an increased risk of early postoperative complications and ICU admission; moreover, a trend toward higher 30- and 90-day hospital readmission rates was noted. This factor may be a consequence of the progressive nature of the disease; hence, it should be considered when choosing between continued medical observation and surgical treatment of patients presenting with asymptomatic HH. An early intervention may reduce the risk of postoperative comorbidity.

Inappropriate prescribing and association with readmission or mortality in hospitalised older adults with frailty: a systematic review and meta-analysis

BackgroundInappropriate prescribing (IP) is common in hospitalised older adults with frailty. However, it is not known whether the presence of frailty confers an increased risk of mortality and readmissions from IP nor whether rectifying IP reduces this risk. This review was conducted to determine whether IP increases the risk of adverse outcomes in hospitalised middle-aged and older adults with frailty.MethodsA systematic review was conducted on IP in hospitalised middle-aged (45–64 years) and older adults (≥ 65 years) with frailty. This review considered multiple types of IP including potentially inappropriate medicines, prescribing omissions and drug interactions. Both observational and interventional studies were included. The outcomes were mortality and hospital readmissions. The databases searched included MEDLINE, CINAHL, EMBASE, World of Science, SCOPUS and the Cochrane Library. The search was updated to 12 July 2024. Meta-analysis was performed to pool risk estimates using the random effects model.ResultsA total of 569 studies were identified and seven met the inclusion criteria, all focused on the older population. One of the five observational studies found an association between IP and emergency department visits and readmissions at specific time points. Three of the observational studies were amenable to meta-analysis which showed no significant association between IP and hospital readmissions (OR 1.08, 95% CI 0.90–1.31). Meta-analysis of the subgroup assessing Beers criteria medicines demonstrated that there was a 27% increase in the risk of hospital readmissions (OR 1.27, 95% CI 1.03–1.57) with this type of IP. In meta-analysis of the two interventional studies, there was a 37% reduced risk of mortality (OR 0.63, 95% CI 0.40-1.00) with interventions that reduced IP compared to usual care but no difference in hospital readmissions (OR 0.83, 95% CI 0.19–3.67).ConclusionsInterventions to reduce IP were associated with reduced risk of mortality, but not readmissions, compared to usual care in older adults with frailty. The use of Beers criteria medicines was associated with hospital readmissions in this group. However, there was limited evidence of an association between IP more broadly and mortality or hospital readmissions. Further high-quality studies are needed to confirm these findings.

Elevated care at home: An alternative to traditional levels of care.

Elevated care at home (ECH) is a novel in-home care model supporting early hospital discharge and providing an alternative to institutional postacute care. This study compares patient characteristics, mortality, and readmission outcomes of hospitalized patients who transitioned to ECH to patients who transitioned to skilled nursing facilities (SNF) and skilled home health services (SHH). A retrospective study of patients between May 2020 and January 2022 transitioned from the hospital to ECH, SNF, or SHH. The analysis compared patient characteristics, 30-day mortality, and readmission stratified by COVID-19 infection status. Outcomes were assessed using logistic regression after propensity score matching. Of 32,132 eligible patients, 6.3% were transitioned to ECH, 39.7% to SNF, and 54.0% to SHH. After matching, all baseline characteristics except for age were balanced between groups. Postmatch and adjusting for age differences, ECH patients experienced lower risk of death compared to SNF (adjusted odds ratio [AOR] 0.61, 95% confidence interval [CI] 0.40, 0.92) and similar risk of hospital readmission compared to SNF patients (AOR 1.08, 95% CI 0.89, 1.31) and SHH patients (AOR 0.96, 95% CI 0.80, 1.16). COVID-19-negative ECH patients compared to matched SNF patients were more likely to readmit (AOR 1.30, 95% CI 1.02, 1.65) with no significant difference in risk of mortality (AOR 0.72, 95% CI 0.44, 1.18). ECH had similar or improved outcomes relative to SNF and SHH. COVID-19-negative ECH patients experienced higher readmissions relative to SNF. ECH supported patients to return home from the hospital and provided an alternative to an institutional postacute setting.

Analysis of readmission and hospitalization expenditures of patients with ischemic stroke suffering from different comorbidities

BackgroundThe comorbidities of ischemic stroke (IS) are increasing worldwide. This study aimed to quantitatively assess the effect of different types of comorbidity on readmission and hospitalization expenditures of patients with IS. MethodsA retrospective observational study was conducted from the basic insurance claims database of a large city in China, between January 1, 2018, and May 31, 2022. We identified patients with IS aged 18 years and over, who experienced the first episode of IS and had one-year follow-up records. This study divided eighteen different comorbid conditions into two categories (concordant comorbidity and discordant comorbidity) and the IS patients were further categorized into four groups. Multivariable logistic regression models and generalized linear models with log-link and gamma distribution were to estimate the effect of different comorbidity groups on one-year readmission rates and annual hospitalization expenditures. ResultsIn total, 99,649 adult patients with IS were identified. Approximately 94.0 % of patients with IS had at least one comorbidity, and 63.8 % reported concordant comorbidity only. Patients with IS had a readmission rate of 26.7 %, and the mean of annual hospitalization expenditure and annual hospitalization out-of-pocket expenditure (OOPE) were 28086.6 Chinese Yuan (CNY) and 8267.3 CNY, respectively. After adjustment for covariates, the concordant comorbidity-only group had the highest readmission rate, annual hospitalization expenditure, and OOPE compared with the other groups, furthermore, these results increased as the number of comorbidity increased and had statistically significant positive associations. ConclusionsThe readmission and annual hospitalization expenditures of patients with IS were associated with different comorbidities. Concordant comorbidity increased hospital readmission risk and health expenditures. To better manage the comorbidities of patients with IS, especially concordant comorbidities, it is necessary to establish a routine care strategy specifically for comorbid conditions.

Critical values for body mass index related to morbidity in high-volume low-complexity general surgery: a systematic review and meta-analysis.

The aim of this study was to investigate the effect of body mass index (BMI, kg/m2) on outcomes of high-volume low-complexity (HVLC) general surgery procedures and to determine critical values for BMI when selecting patients into HVLC programmes. A systematic review was conducted of studies looking at patients in different BMI categories undergoing HVLC general surgery procedures (laparoscopic cholecystectomy, inguinal hernia repair and umbilical or paraumbilical hernia repair), in accordance with the PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) guidelines. A comparison meta-analysis model was constructed to compare the outcomes using random-effects modelling. The QUIPS (Quality In Prognosis Studies) tool and GRADE (Grading of Recommendations Assessment, Development and Evaluation) system were used to assess bias. A total of 26 studies including 486,392 patients were examined. In laparoscopic cholecystectomy, BMI ≥40 was associated with higher conversion to open surgery (odds ratio [OR]: 1.33, p=0.040) but did not affect complications (OR: 0.69, p=0.400) or length of hospital stay (mean difference [MD]: -0.01 days, p=0.900). In inguinal hernia repair, BMI ≥35 was associated with longer operative time (MD: 18.00 minutes, p<0.00001), and higher risk of wound complications (OR: 3.01, p<0.00001) and hospital readmission (OR: 1.46, p=0.0008). In umbilical or paraumbilical hernia repair, BMI ≥30 was associated with higher risk of wound complications (OR: 6.45, p<0.0001) and hospital readmission (OR: 5.56, p<0.00001), and longer operative time (MD: 4.01 minutes, p=0.030). Obesity was associated with longer operative time (up to 23 minutes) and higher risk of postoperative morbidity (up to 4-fold) in HVLC procedures. BMI <40 (moderate GRADE certainty - laparoscopic cholecystectomy) and BMI <35 (moderate GRADE certainty - inguinal hernia) appear to represent optimal critical values for perioperative safety metrics.

Simultaneously implementing pathways for improving asthma, pneumonia, and bronchiolitis care for hospitalized children: Protocol for a hybrid effectiveness-implementation, cluster-randomized trial.

Asthma, pneumonia, and bronchiolitis are the top causes of childhood hospitalization in the United States, leading to over 350,000 hospitalizations and ≈$2 billion in costs annually. The majority of these hospitalizations occur in general/community hospitals. Poor guideline adoption by clinicians contributes to poor health outcomes for children hospitalized with these illnesses, including longer recovery time/hospital stay, higher rates of intensive care unit transfer, and increased risk of hospital readmission. A prior single-center study at a children's hospital tested a multicondition clinical pathway intervention (simultaneous implementation of multiple pathways for multiple pediatric conditions) and demonstrated improved clinician guideline adherence and patient health outcomes. This intervention has not yet been studied in community hospitals, which face unique implementation barriers. To study the implementation and effectiveness of a multicondition pathway intervention for children hospitalized with asthma, pneumonia, or bronchiolitis in community hospitals. We will conduct a pragmatic, hybrid effectiveness-implementation, cluster-randomized trial in community hospitals around the United States (1:1 randomization to intervention vs. wait-list control). Our primary outcome will be the adoption of 2-3 evidence-based practices for each condition over a sustained period of 2 years. Secondary outcomes include hospital length of stay, ICU transfer, and readmission. This hybrid trial will lead to a comprehensive understanding of how to pragmatically and sustainably implement a multicondition pathway intervention in community hospitals and an assessment of its effects. Enrollment began in July 2022 and is projected to be completed in September 2024. Primary analysis completion is anticipated in March 2025, with reporting of results following.

Effects of Social Isolation and Loneliness on Heart Failure Self-care: A Cross-sectional Analysis.

Patients with heart failure (HF) who engage in effective HF self-care have better quality of life, and lower risks of all-cause and HF-related hospital readmission and mortality. It is unclear whether social isolation and loneliness, which are prevalent among patients with HF and known to affect other self-care behaviors, can predict HF self-care. The aim was to explore the relationship between social isolation, loneliness, and HF self-care. This was a cross-sectional secondary analysis (n = 49) of the GEtting iNTo Light Exercise for HF randomized controlled trial, a 6-month home-based live group gentle exercise intervention for patients with HF. Measures included the following: 6-item Lubben Social Network Scale for social isolation, Patient-Reported Outcomes Measurement Information System Social Isolation survey for loneliness, Self-Care of Heart Failure Index, and Patient-Reported Outcomes Measurement Information System Depression survey. Multiple linear regression modeling was used to examine the relationships of 4 HF self-care processes to social isolation and loneliness, adjusting for depression and grouping (control group or intervention group). Scores indicating less social isolation predicted higher self-care maintenance (B = 0.937, P = .015), monitoring (B = 0.799, P = .041), and management (B = 1.812, P < .001). Loneliness did not predict HF self-care. To our knowledge, this is the first study to predict HF self-care using distinct measures for social isolation and loneliness. Patients who were less socially isolated engaged in better HF self-care; loneliness had no relationship with HF self-care. Prospective studies are needed to investigate causal relationships between social isolation and HF-self-care engagement to determine the effect on outcomes such as hospital readmission and mortality.

Vitamin D deficiency and its impact on outcomes in myocardial infarction patients: a prospective observational study

Objectives: Vitamin D deficiency has been linked to cardiovascular diseases, but its impact on outcomes in myocardial infarction (MI) patients remains unclear. This study investigated the relationship between serum vitamin D levels and short-term and medium-term outcomes in patients with myocardial infarction. Ischemic heart diseases (IHD) are the most common cause of death in the world. Identifying risk factors and predictors can play a critical role in identifying high-risk people in screenings, identifying high-risk patients during admission to the hospital, and adjusting these risk factors in patients to improve prognosis. Methods: This prospective observational study was conducted on 212 patients diagnosed with myocardial infarction at Seyed al-Shohada Hospital in Urmia, Iran. Having been admitted, the patients had their serum vitamin D levels measured using the same blood sample for routine tests. Levels of vitamin D were categorized as normal (&gt;30 ng/ml), insufficient (21-29 ng/ml), or deficient (&lt;20 ng/ml). The patient's files provided the demographic, clinical, and biomedical information, echocardiography, and angiography data. The patients were followed for at least six months post-MI, with a maximum follow-up of 11 months. Follow-up occurred through monthly phone calls and outpatient clinic visits as needed. Primary outcomes included in-hospital complications (such as death, significant bleeding, acute pulmonary edema, cardiogenic shock, and arrhythmias), cardiac readmissions, and mortality. Logistic regression and Cox regression analyses were used to examine the connection between outcome variables and vitamin D levels, adjusting for potential confounders including age, gender, blood pressure, diabetes, blood lipids, creatinine, disease severity (SYNTAX score*), and left ventricular ejection fraction. The mean serum level of vitamin D in patients on admission was 33. 62 ng/dL. The average number of hospitalization days was 4.8 days, and the rate of re-hospitalization was 26.6% in the six-month follow-up and 30.3% in the 9-month follow-up. The hospital mortality rate was equal to 1.4%, and the mortality rate at the end of the follow-up period was equal to 8.3%. The most common complication during hospitalization among the patients was ventricular tachycardia. However, in follow-up, re-hospitalization due to previous issues was the most common complication. Results: The mean serum vitamin D level was 33. 62 ng/ml,with 52.8% of patients having insufficient or deficient levels. The most common in-hospital complication was ventricular tachycardia (11.5%). Vitamin D deficiency was not significantly associated with in-hospital complications. However, during the follow-up period, vitamin D deficiency was significantly related to increased risk of readmission to hospital (HR: 6.984, 95% CI: 3.500-13.936, p&lt;0.001). The 6-month readmission rate was 26.6%, increasing to 30.3% at 9 months. Vitamin D deficiency was also associated with increased cardiac mortality (HR: 12.936, 95% CI: 1.494- 112.016, p=0.020) during follow-up. The 9-month mortality rate was 8.3%. Other factors contributing to cardiac mortality included disease severity (SYNTAX score) and female gender. Conclusions: While vitamin D deficiency did not impact short-term complications, it was associated with increased risk of hospitalreadmission and mortality in MI patients during medium-term follow-up. These findings suggest that vitamin D status can significantly impact long-term outcomes for MI patients

Home based cardiac rehabilitation: A retrospective cohort analysis on all-cause mortality and hospital readmission rates across sexes and races

ObjectiveStudies have shown that both home-based cardiac rehabilitation (HBCR) and center-based cardiac rehabilitation (CBCR) exhibit comparable efficacy in reducing mortality during short-term follow-up periods of up to 12 months. However, research on sex- and race-specific outcomes associated with HBCR is limited. This study examines all-cause mortality and hospital readmission among patients referred to HBCR, with stratification by sex and race. MethodsThis Kaiser Permanente Southern California (KPSC) retrospective cohort study followed 6,868 patients from HBCR referral until death, disenrollment, or December 31, 2021. There were 3,835 HBCR graduates, 722 non-graduates, and 2,311 non-enrolled patients. Cox models were used to estimate hazard ratios (HR) and 95 % confidence intervals (CI) comparing 1) HBCR graduates vs. non-enrolled, and 2) HBCR graduates vs. non-graduates, stratified by sex and race. Differential outcomes among strata were analyzed using Kaplan-Meier curves. ResultsAmong the 6,868 patients referred to HBCR, 4693 (68.3 %) were male, 2,175 (31.7 %) female, 870 (12.7 %) Asian/Pacific Islander, 731 (10.6 %) African American, 1,612 (23.6 %) Hispanic/Latino, and 3,646 non-Hispanic White (53.1 %). Over a mean follow-up period of 2.28 years, HBCR graduates, compared to patients who did not enroll in HBCR, had overall significantly lower risks of all-cause mortality and hospitalization. These results remained significant with stratification by sex and race. Compared to HBCR non-graduates, HBCR graduates overall had significantly lower risks of all-cause mortality and hospitalization. In the same comparison, mortality risk was significantly reduced for male and White patients; risk of hospital readmission was significantly reduced in both sexes, African American, and White patients. Among HBCR graduates, no significant differences in all-cause mortality or hospital readmission were observed across sexes and races. ConclusionHBCR participation is associated with reduction of all-cause mortality and hospital readmission rates across sexes and races. Notably, we observed benefits at varying levels of engagement, which suggests that even partial completion of HBCR is associated with risk reduction. Among HBCR graduates, we found similar outcomes across sexes and races, which suggests that the program can be effective among diverse patient groups.

Prevalence of malnutrition and impact on 30-day hospital readmission in adults receiving home care and ambulatory care: A descriptive cohort study.

Little is known about the prevalence of malnutrition among patients receiving home care (HC) and ambulatory care (AC) services. Further, the risk of hospital readmission in malnourished patients transitioning from hospital to HC or AC is also not well established. This study aims to address these two gaps. A descriptive cohort study of newly referred HC and AC patients between January and December 2019 was conducted. Nutrition status was assessed by clinicians using the Mini Nutritional Assessment-Short Form (MNA-SF). Prevalence of malnutrition and at risk of malnutrition (ARM) was calculated, and a log-binomial regression model was used to estimate the relative risk of hospital readmission within 30 days of discharge for those who were malnourished and referred from hospital. A total of 3704 MNA-SFs were returned, of which 2402 (65%) had complete data. The estimated prevalence of malnutrition and ARM among newly referred HC and AC patients was 21% (95% CI: 19%-22%) and 55% (95% CI: 53%-57%), respectively. The estimated risk of hospital readmission for malnourished patients was 2.7 times higher (95% CI: 1.9%-3.9%) and for ARM patients was 1.9 times higher (95% CI: 1.4%-2.8%) than that of patients with normal nutrition status. The prevalence of malnutrition and ARM among HC and AC patients is high. Malnutrition and ARM are correlated with an increased risk of hospital readmission 30 days posthospital discharge.

Can prediction models for hospital readmission be improved by incorporating patient-reported outcome measures? A systematic review and narrative synthesis.

To investigate the roles, challenges, and implications of using patient-reported outcome measures (PROMs) in predicting the risk of hospital readmissions. We systematically searched four bibliometric databases for peer-reviewed studies published in English between 1 January 2000 and 15 June 2023 and used validated PROMs to predict readmission risks for adult populations. Reported studies were analysed and narratively synthesised in accordance with the CHARMS and PRISMA guidelines. Of the 2858 abstracts reviewed, 23 studies met predefined eligibility criteria, representing diverse geographic regions and medical specialties. Among those, 19 identified the positive contributions of PROMs in predicting readmission risks. Seven studies utilised generic PROMs exclusively, eleven used generic and condition-specific PROMs, while 5 focussed solely on condition-specific PROMs. Logistic regression was the most used modelling approach, with 13 studies aiming at predicting 30-day all-cause readmission risks. The c-statistic, ranging from 0.54 to 0.84, was reported in 22/23 studies as a measure of model discrimination. Nine studies reported model calibration in addition to c-statistic. Thirteen studies detailed their approaches to dealing with missing data. Our study highlights the potential of PROMs to enhance predictive accuracy in readmission models, while acknowledging the diversity in data collection methods, readmission definitions, and model evaluation approaches. Recognizing that PROMs serve various purposes beyond readmission reduction, our study supports routine data collection and strategic integration of PROMs in healthcare practices to improve patient outcomes. To facilitate comparative analysis and broaden the use of PROMs in the prediction framework, it is imperative to consider the methodological aspects involved.

One-year mortality and readmission risks following hospitalization for acute exacerbation of chronic obstructive pulmonary disease based on the types of acute respiratory failure: An observational study.

Few studies have examined the risk factors associated with the type of acute respiratory failure (ARF) in patients with acute exacerbation of chronic obstructive pulmonary disease (COPD). This study evaluated the clinical characteristics and prognosis of patients hospitalized for acute exacerbation of COPD based on the type of ARF. The medical charts of hospitalized patients with acute exacerbation of COPD between 2016 and 2021 were retrospectively reviewed. We classified ARF into 2 types: type 1 ARF with PaO2 < 60 mm Hg in room air or a ratio of arterial partial pressure to fractional inspired oxygen < 300, and type 2 ARF with PaCO2 > 45 mm Hg and arterial pH < 7.35. A total of 435 patients were enrolled in study, including 170 participants without ARF, 165 with type 1 ARF, and 100 with type 2 ARF. Compared with the non-ARF group, the frequency of high-flow nasal cannula, noninvasive ventilation, intensive care unit admissions, and in-hospital deaths was higher in the ARF group compared with the non-ARF group. The ARF group had higher 1-year mortality group (hazard ratio [HR], 2.809; 95% confidence interval [CI], 1.099-7.180; P = .031) and readmission within 1-year rates (HR, 1.561; 95% CI, 1.061-2.295; P = .024) than the non-ARF group. The type 1 ARF group had a higher risk of 1-year mortality (HR, 3.022; 95% CI, 1.041-8.774; P = .042) and hospital readmission within 1-year (HR, 2.053; 95% CI, 1.230-3.428; P = .006) compared with the non-ARF group. There was no difference in mortality and readmission rates between the type 1 and type 2 ARF groups. In conclusion, patients with type 1 ARF rather than type 2 ARF had higher mortality and readmission rates than those without ARF. The prognoses of patients with type 1 and type 2 ARF were similar.

Hospital Readmission in Patients with COVID-19

Background: During the Coronavirus Disease 2019 (COVID-19) pandemic, the demand for hospital beds has exceeded substantially. Thus, we aimed to conduct this study to identify factors associated with the risk of readmission in order to introduce the best discharge plan for patients with high risk of hospital readmission. Methods: This is a multicenter, case-control study including 1357 patients hospitalized with COVID-19 infection. Age-sex-matched case and control groups were paired at 1:2 ratios, and COVID-19 readmission rate was assessed. Moreover, the logistic regression analysis was applied to determine the factors associated with readmission. Results: Of the 1357 patients, 99 (7.29%) subjects were readmitted. The most common cause of readmission was respiratory distress. The median (interquartile) of the interval between hospital discharge and the second admission was 5 (2-16) days. Upon adjusting with the main risk factors, having at least one underlying disease and being treated with the corticosteroid were significantly associated with a higher rate of readmission (OR: 2.76, 95%CI: 1.30- 5.87) and (OR: 8.24, 95%CI: 3.72-18.22), respectively. Conclusion: Identification of risk factors of COVID 19 readmission will improve resource utilization and patient care.

Biologically active adrenomedullin as a marker for residual congestion and early rehospitalization in patients hospitalized for acute heart failure: Data from STRONG-HF.

Biologically active adrenomedullin (bio-ADM) is a promising marker of residual congestion. The STRONG-HF trial showed that high-intensity care (HIC) of guideline-directed medical therapy (GDMT) improved congestion and clinical outcomes in heart failure (HF) patients. The association between bio-ADM, decongestion, outcomes and the effect size of HIC of GDMT remains to be elucidated. We measured plasma bio-ADM concentrations in 1005 patients within 2 days prior to anticipated discharge (baseline) and 90 days later. Bio-ADM correlated with most signs of congestion, with the exception of rales. Changes in bio-ADM were strongly correlated with change in congestion status from baseline to day 90 (gamma -0.24; p = 0.0001). Patients in the highest tertile of baseline bio-ADM concentrations were at greater risk than patients in the lowest tertile for the primary outcome of 180-day all-cause mortality or HF rehospitalization (hazard ratio [HR] 2.14, 95% confidence interval [CI] 1.42-3.22) and 180-day HF rehospitalization (HR 2.33, 95% CI 1.38-3.94). Areas under the receiver-operating characteristic curves were 0.5977 (95% CI 0.5561-0.6393), 0.5800 (95% CI 0.5356-0.6243), and 0.6159 (95% CI 0.5711-0.6607) for bio-ADM, N-terminal pro-B-type natriuretic peptide (NT-proBNP) and their combination, respectively, suggesting that both bio-ADM and NT-proBNP provided similarly modest discrimination for this outcome. A trend towards better discrimination by combined bio-ADM and NT-proBNP than NT-proBNP alone was found (p = 0.059). HIC improved the primary outcome, irrespective of baseline bio-ADM concentration (interaction p = 0.37). In contrast to NT-proBNP, the 90-day change in bio-ADM did not differ significantly between HIC and usual care. Bio-ADM is a marker of congestion and predicts congestion at 3 months after a HF hospitalization. Higher bio-ADM was modestly associated with a higher risk of death and early hospital readmission and may have added value when combined with NT-proBNP.