Thirty-Day Readmission Rates after Takotsubo Syndrome with or without Malignancy: A Nationwide Readmissions Database Analysis.
Ontology highlight
ABSTRACT:
SUBMITTER: Jang SJ
PROVIDER: S-EPMC8397058 | biostudies-literature |
REPOSITORIES: biostudies-literature
Similar Datasets
Project description:Background The contemporary incidence of and reasons for early readmission after infective endocarditis ( IE ) are not well known. Therefore, we analyzed 30-day readmission demographics after IE from the US Nationwide Readmission Database. Methods and Results We examined the 2010 to 2014 Nationwide Readmission Database to identify index admissions for a primary diagnosis of IE with survival at discharge. Incidence, reasons, and independent predictors of 30-day unplanned readmissions were analyzed. In total, 11 217 patients (24.8%) were nonelectively readmitted within 30 days among the 45 214 index admissions discharged after IE . The most common causes of readmission were IE (20.5%), sepsis (8.7%), complications of device/graft (8.1%), and congestive heart failure (7.6%). In-hospital mortality and the valvular surgery rates during the readmissions were 8.1% and 9.1%, respectively. Discharge to home or self-care, undergoing valvular surgery, aged ≥60 years, and having private insurance were independently associated with lower rates of 30-day readmission. Length of stay of ≥10 days, congestive heart failure, diabetes mellitus, renal failure, chronic pulmonary disease, peripheral artery disease, and depression were associated with higher risk. The total hospital costs of readmission were $48.7 million per year (median, $11 267; interquartile range, $6021-$25 073), which accounted for 38.6% of the total episodes of care (index+readmission). Conclusions Almost 1 in 4 patients was readmitted within 30 days of admission for IE . The most common reasons were IE , other infectious causes, and cardiac causes. A multidisciplinary approach to determine the surgical indications and close monitoring are necessary to improve outcomes and reduce complications in in-hospital and postdischarge settings.
| S-EPMC6512130 | biostudies-literature
Project description:ObjectivesRisk-adjusted 30-day hospital readmission rate is a commonly used benchmark for hospital quality of care and for Medicare reimbursement. Persons living with HIV (PLWH) may have high readmission rates. This study compared 30-day readmission rates by HIV status in a multi-state sample with planned subgroup comparisons by insurance and diagnostic categories.MethodsData for all acute care, nonmilitary hospitalizations in nine states in 2011 were obtained from the Healthcare Costs and Utilization Project. The primary outcome was readmission for any cause within 30 days of hospital discharge. Factors associated with readmission were evaluated using multivariate logistic regression.ResultsA total of 5 484 245 persons, including 33 556 (0.6%) PLWH, had a total of 6 441 695 index hospitalizations, including 45 382 (0.7%) among PLWH. Unadjusted readmission rates for hospitalizations of HIV-uninfected persons and PLWH were 11.2% [95% confidence interval (CI) 11.2, 11.2%] and 19.7% (95% CI 19.3, 20.0%), respectively. After adjustment for age, gender, race, insurance, and diagnostic category, HIV infection was associated with 1.50 (95% CI 1.46, 1.54) times higher odds of readmission. Predicted, adjusted readmission rates were higher for PLWH within every insurance category, including Medicaid [12.9% (95% CI 12.8, 13.0%) and 19.1% (95% CI 18.4, 19.7%) for HIV-uninfected persons and PLWH, respectively] and Medicare [13.2% (95% CI 13.1, 13.3%) and 18.0% (95% CI 17.4, 18.7%), respectively], and within every diagnostic category.ConclusionsHIV infection is associated with significantly increased readmission risk independent of demographics, insurance, and diagnostic category. The 19.7% 30-day readmission rate may serve as a preliminary benchmark for assessing quality of care of PLWH. Policy-makers may consider adjusting for HIV infection when calculating a hospital's expected readmission rate.
| S-EPMC4713370 | biostudies-literature
Project description:ObjectiveTo generate a heart failure (HF) readmission prediction model using the Nationwide Readmissions Database to guide management and reduce HF readmissions.Patients and methodsA retrospective analysis was performed for patients listed for HF admissions in the Nationwide Readmissions Database from January 1, 2010, to December 31, 2014. A Cox proportional hazards model for sample survey data for the prediction of readmission for all patients with HF was implemented using a derivation cohort (2010-2012). We generated receiver operating characteristic (ROC) curves and estimated area under the ROC curve at each time point (30, 60, 90, and 180 days) to assess the accuracy of our predictive model using the derivation cohort (2010-2012) and compared it with the validation cohort (2013-2014). A risk score was computed for the validation cohort. On the basis of the total risk score, we calculated the probability of readmission at 30, 60, 90, and 180 days.ResultsApproximately 1,420,564 patients were admitted for HF, contributing to 1,817,735 total HF admissions. Of these, 665,867 patients had at least 1 readmission for HF. The 10 most common comorbidities for readmitted patients included hypertension, diabetes mellitus, renal failure, chronic pulmonary disease, deficiency anemia, fluid and electrolyte disorders, obesity, hypothyroidism, peripheral vascular disorders, and depression. The area under the ROC curve for the prediction model was 0.58 in the derivation cohort and 0.59 in the validation cohort.ConclusionThe prediction model will find clinical utility at point of care in optimizing the management of patients with HF and reducing HF readmissions.
| S-EPMC9120065 | biostudies-literature
Project description:BackgroundHospital readmission rates are being used to evaluate performance. A survey of the present rates is needed before policies can be developed to decrease incidence of readmission. We address three questions: What is the present rate of 30-day readmission in orthopedics? How do factors such as orthopedic specialty, data source, patient insurance, and time of data collection affect the 30-day readmission rate? What are the causes and risk factors for 30-day readmissions?Methods/findingsA review was first registered with Prospero (CRD42014010293, 6/17/2014) and a meta-analysis was performed to assess the current 30-day readmission rate in orthopedics. Studies published after 2006 were retrieved, and 24 studies met the inclusion criteria. The 30-day readmission rate was extrapolated from each study along with the orthopedic subspecialty, data source, patient insurance, time of collection, patient demographics, and cause of readmission. A sensitivity analysis was completed on the stratified groups. The overall 30-day readmission rate across all orthopedics was 5.4 percent (95% confidence interval: 4.8,6.0). There was no significant difference between subspecialties. Studies that retrieved data from a multicenter registry had a lower 30-day readmission rate than those reporting data from a single hospital or a large national database. Patient populations that only included Medicare patients had a higher 30-day readmission rate than populations of all insurance. The 30-day readmission rate has decreased in the past ten years. Age, length of stay, discharge to skilled nursing facility, increased BMI, ASA score greater than 3, and Medicare/Medicaid insurance showed statistically positive correlation with increased 30-day readmissions in greater than 75 percent of studies. Surgical site complications accounted for 46 percent of 30-day readmissions.ConclusionsThis meta-analysis shows the present rate of 30-day readmissions in orthopedics. Demonstrable heterogeneity between studies underlines the importance of uniform collection and reporting of readmission rates for hospital evaluation and reimbursement.
| S-EPMC4401733 | biostudies-literature
Project description:BackgroundResearch on age-related complications secondary to shunts in normal pressure hydrocephalus (NPH) is primarily limited to single-center studies and small cohorts.ObjectiveTo determine the rates of hospital readmission and surgical complications, and factors that predict them, following shunt surgery for NPH in a large healthcare network.MethodsSurgical procedures, complications, and readmissions for adults undergoing ventricular shunting for NPH were determined using de-identified claims from a privately insured United States healthcare network in years 2007-2014. Univariate and multivariate statistics were used to determine factors that predict poor surgical outcomes. The primary outcome variable was surgical complications or readmissions (composite variable for any major perioperative complication or 30-d readmission).ResultsThe 30-d readmission rate for 974 patients with NPH who underwent ventricular shunting was 7.29%; the most common reasons for readmission were shunt-related complications, infection, hemorrhage, altered mental status, and cardiopulmonary and musculoskeletal problems. The perioperative complication rate was 21.15%, including intraparenchymal hemorrhage (5.85%) and extra-axial (subdural or epidural) hematoma (5.54%). The overall rate of having a surgical complication or 30-d readmission was 25.15%. Age did not predict surgical complication or 30-d readmission. Preoperative comorbidities independently associated with poor outcome were myocardial infarction within 1 yr (OR = 3.984, 95% CI = 1.105-14.368); existing cerebrovascular disease (odds ratio [OR] = 2.206, 95% CI = 1.544-3.152); and moderate/severe renal disease (OR = 2.000, 95% CI = 1.155-3.464).ConclusionThe rate of complications or readmission within 30 d of ventricular shunting for NPH is 25.15%. Preoperative comorbidities of myocardial infarction within 1 yr, cerebrovascular disease, and moderate/severe renal disease are independent risk factors for poor outcome.
| S-EPMC7528659 | biostudies-literature
Project description:Objectives:Coronary artery bypass grafting (CABG) is among the most frequently performed cardiac surgical procedures. However, it is associated with high readmission rates for a plethora of causes, which can substantially increase healthcare costs. This study aimed to assess the rates and associated risk factors of 30-day readmissions for CABG patients. Methods:We conducted this retrospective cohort study at King Abdulaziz Medical City. The study targeted adult patients who underwent CABG between January 1, 2016, and January 31, 2019. Data were extracted from the BEST Care system. Frequencies and percentages were generated for categorical variables. Mean and standard deviation were calculated for quantitative variables. Bivariable and multivariable logistic regressions were used to detect readmission risk factors. Results:Among 534 adult patients, the overall 30-day readmission rate was 16.1% (n = 86). The multivariable logistic regression analysis showed that diabetes mellitus (P = .002), amiodarone use (P = .04), statin use (P = .04), amlodipine use (P = .006), asthma (P < .001), and hyperlipidemia (P = .04) were significantly correlated with 30-day readmission. Conclusions:Our study showed an estimated 16.1% 30-day readmission rate after CABG. Diabetes mellitus, asthma, hyperlipidemia, and use of medications such as amiodarone, statins, and amlodipine were associated with readmission. Further studies are needed to develop tailored and practical strategies to reduce CABG readmissions and mitigate patient and health care facility burdens.
| S-EPMC7479155 | biostudies-literature
Project description:Understanding whether and why there are racial disparities in readmissions has implications for efforts to reduce readmissions.To determine whether black patients have higher odds of readmission than white patients and whether these disparities are related to where black patients receive care.Using national Medicare data, we examined 30-day readmissions after hospitalization for acute myocardial infarction (MI), congestive heart failure (CHF), and pneumonia. We categorized hospitals in the top decile of proportion of black patients as minority-serving. We determined the odds of readmission for black patients compared with white patients at minority-serving vs non-minority-serving hospitals.Medicare Provider Analysis Review files of more than 3.1 million Medicare fee-for-service recipients who were discharged from US hospitals in 2006-2008.Risk-adjusted odds of 30-day readmission.Overall, black patients had higher readmission rates than white patients (24.8% vs 22.6%, odds ratio [OR], 1.13; 95% confidence interval [CI], 1.11-1.14; P < .001); patients from minority-serving hospitals had higher readmission rates than those from non-minority-serving hospitals (25.5% vs 22.0%, OR, 1.23; 95% CI, 1.20-1.27; P < .001). Among patients with acute MI and using white patients from non-minority-serving hospitals as the reference group (readmission rate 20.9%), black patients from minority-serving hospitals had the highest readmission rate (26.4%; OR, 1.35; 95% CI, 1.28-1.42), while white patients from minority-serving hospitals had a 24.6% readmission rate (OR, 1.23; 95% CI, 1.18-1.29) and black patients from non-minority-serving hospitals had a 23.3% readmission rate (OR, 1.20; 95% CI, 1.16-1.23; P < .001 for each); patterns were similar for CHF and pneumonia. The results were unchanged after adjusting for hospital characteristics including markers of caring for poor patients.Among elderly Medicare recipients, black patients were more likely to be readmitted after hospitalization for 3 common conditions, a gap that was related to both race and to the site where care was received.
| S-EPMC3332042 | biostudies-literature
Project description:Background Readmission after ST-segment-elevation myocardial infarction ( STEMI ) poses an enormous economic burden to the US healthcare system. Efforts to prevent readmissions should be based on understanding the timing and causes of these readmissions. This study aimed to investigate contemporary causes, timing, and cost of 30-day readmissions after STEMI . Methods and Results All STEMI hospitalizations were selected in the Nationwide Readmissions Database ( NRD ) from 2010 to 2014. The 30-day readmission rate as well as the primary cause and cost of readmission were examined. Multivariate regression analysis was performed to identify the predictors of 30-day readmission and increased cumulative cost. From 2010 to 2014, the 30-day readmission rate after STEMI was 12.3%. Within 7 days of discharge, 43.9% were readmitted, and 67.3% were readmitted within 14 days. The annual rate of 30-day readmission decreased by 19% from 2010 to 2014 ( P<0.001). Female sex, AIDS , anemia, chronic kidney disease , collagen vascular disease, diabetes mellitus, hypertension, pulmonary hypertension, congestive heart failure , atrial fibrillation, and increased length of stay were independent predictors of 30-day readmission. A large proportion of patients (41.6%) were readmitted for noncardiac reasons. After multivariate adjustment, 30-day readmission was associated with a 47.9% increase in cumulative cost ( P<0.001). Conclusions Two thirds of patients were readmitted within the first 14 days after STEMI , and a large proportion of patients were readmitted for noncardiac reasons. Thirty-day readmission was associated with an ≈50% increase in cumulative hospitalization costs. These findings highlight the importance of closer surveillance of both cardiac and general medical conditions in the first several weeks after STEMI discharge.
| S-EPMC6222940 | biostudies-literature
Project description:BackgroundReadmission rates are an important metric for evaluating healthcare quality. Stroke is a major complication following cardiac surgery. Our study aimed to evaluate the frequency and predictors of 30-day unplanned hospital readmission after cardiac surgeries and to evaluate the impact of perioperative stroke on readmission.MethodsSurgical discharge records spanning the years of 2008 through 2011 were analyzed utilizing California State Inpatient Database. International Classification of Diseases, ninth revision-Clinical Modification (ICD-9-CM) codes and Clinical Classification Software (CCS) codes were used to identify surgeries and variables of interest. Surgical records were then followed up for 30 days through linking admission records. Perioperative stroke was defined as brain infarction of ischemic or hemorrhagic etiology that occurred during or within 30 days after surgery.ResultsBaseline characteristics associated with increased readmission rates were female gender, age above 65, non-white race, lower income, and increased number of comorbidities. Among 199,617 hospitalizations for cardiac surgeries, 1,817 (0.91%) patients developed perioperative stroke. The rate of readmission in perioperative stroke patients was 21.89%. They had a longer length of hospital stay and their discharge was vastly non-routine (84%). Our univariate analysis yielded significant association between stroke and readmission rates (odds ratio: 1.82, 95% confidence interval: 1.63 - 2.04). This association failed to remain significant upon controlling for other variables in our multivariate analysis.ConclusionBaseline patient characteristics and perioperative complications are significant predictors of readmission. More than one in five patients who develop a stroke after cardiac surgery are readmitted to the hospital within 30 days of discharge.
| S-EPMC8827220 | biostudies-literature
Project description:Hypertensive emergency is a clinical entity with potentially serious health implications and high healthcare utilization. There is a lack of nationally representative data on incidence, causes, and predictors of 30-day readmission after hospitalization for hypertensive emergency. We used the 2013 to 2014 Nationwide Readmissions Database to identify index hospitalizations for hypertensive emergency. Primary outcome was all-cause unplanned 30-day readmission. Multivariable hierarchical logistic regression was used to identify independent predictors of readmission. There were 166 531 index hospitalizations for hypertensive emergency representative of 355 627 (SE, 9401) hospitalizations nationwide in 2013 to 2014. Mean age was 66.0 (SE, 0.14) years, and 53.7% were women. The overall incidence of unplanned 30-day readmissions was 17.8%. The most common causes of readmission were heart failure (14.2%), hypertension with complications (10.2%), sepsis (5.9%), acute kidney injury (5.1%), and cerebrovascular accident (5.1%). Noncardiovascular causes accounted for 57.9% of readmissions. We found age <65 years (odds ratio, 1.21; 95% CI, 1.17-1.25; P<0.001), female sex (odds ratio, 1.09; 95% CI, 1.07-1.12; P<0.001), comorbid disease burden, substance use disorders, and socioeconomic risk factors to be significant predictors of readmission. One out of 6 patients hospitalized for hypertensive emergency had an unplanned 30-day readmission. Heart failure, uncontrolled hypertension, and stroke were among the most frequent causes of readmission; however, over half of all readmissions were because of noncardiovascular causes.
| S-EPMC6310036 | biostudies-literature