Regional variations in trajectories of long-term readmission rates among patients in England with heart failure.
Ontology highlight
ABSTRACT:
SUBMITTER: Rao A
PROVIDER: S-EPMC6451209 | biostudies-literature | 2019 Apr
REPOSITORIES: biostudies-literature
Similar Datasets
Project description:AimsAcute heart failure (AHF) is one of the leading causes of unscheduled hospitalization and is associated with frequent readmissions and substantial mortality. Precipitating factors of AHF influence short-term mortality, but their effect on outcome after hospital discharge is unknown. The present study assessed the effect of precipitating factors on readmission and long-term survival in the overall population and in patients aged 75 years or younger.Methods and resultsPatients admitted with AHF (n = 755) included in the multicentre cohort 'Biomarcoeurs' were included in the study. Precipitating factors of AHF were classified in four main groups: acute coronary syndrome, atrial fibrillation, acute pulmonary disease and other causes. Hospital readmission during 90 days after discharge and survival at 1 year were analysed. Precipitating factors influenced readmissions and survival. Acute pulmonary disease was associated with fewer readmissions (HR 0.61, 95% confidence interval (CI) 0.37-0.99, P = 0.049), especially in patients aged 75 years or younger (HR 0.20, 95% CI 0.06-0.63, P = 0.006), whereas atrial fibrillation (HR 2.23, 95% CI 1.29-3.85, P = 0.004) and acute coronary syndrome (HR 2.23, 95% CI 1.02-4.86, P = 0.044) were associated with more readmissions. Patients with acute pulmonary disease at admission showed higher mortality (HR 1.59, 95% CI 1.04-2.43, P = 0.034), especially in subjects aged 75 years or younger (HR 2.52, 95% CI 1.17-5.41, P = 0.018).ConclusionsPrecipitating factors of AHF substantially influenced outcome after hospitalization. In particular, patients with AHF precipitated by acute pulmonary disease showed fewer readmissions and higher 1 year mortality, especially in patients aged 75 years or younger.
| S-EPMC5066631 | biostudies-literature
Project description:Heart failure (HF) is an emerging public health problem due to increasing hospitalisations, readmissions and direct healthcare costs. Transitional care (TC) aims to improve multidisciplinary care coordination in HF and provides a streamlined strategy to ensure discharge success. This article reviews the different TC models and interventions in HF, and compares their strengths, weaknesses and efficacies. Notably, a nurse-led TC model under the direct administration of a dedicated multidisciplinary team appears to be the superior model of care. The emerging use of remote technology to track patient progress adds value, as human resources are scarce. Several knowledge gaps are highlighted in this article. The authors share their local institutional TC experience and discuss its early impact on HF care.
| S-EPMC5490879 | biostudies-other
Project description:Background Regional patient characteristics, care quality, and outcomes may differ based on a variety of factors among patients hospitalized for heart failure (HF). Regional disparities in outcomes of cardiovascular disease have been suggested across various regions in the United States. This study examined whether there are significant differences by region in quality of care and short-term outcomes of hospitalized patients with HF across the United States. Methods and Results We examined regional demographics, quality measures, and short-term outcomes across 4 US Census Bureau regions in patients hospitalized with HF and enrolled in the GWTG-HF (Get With The Guidelines-Heart Failure) registry from 2010 to 2016. Differences in length of stay and mortality by region were examined with multivariable logistic regression. The study included 423 333 patients hospitalized for HF in 488 hospitals. Patients in the Northeast were significantly older. Completion of achievement measures, with few exceptions, were met with similar frequency across regions. Multivariable analysis demonstrated significantly lower in-hospital mortality in the Midwest compared with the Northeast (hazard ratio, 0.64; 95% CI, 0.51-0.8; P<0.00001). The length of stay varied significantly by region with a significantly higher risk-adjusted length of stay in the Northeast compared with other regions. Conclusions Although we did not find any substantial differences by region in quality of care in patients hospitalized for HF, risk-adjusted inpatient mortality was found to be lower in the Midwest compared with the Northeast, and may be secondary to unmeasured differences in patient characteristics, and to longer length of stay in the Northeast.
| S-EPMC8174327 | biostudies-literature
Project description:AimsIt has been reported that congestive heart failure (CHF) readmission has not decreased in the last decade. It is also reported that CHF readmission is likely to occur shortly after discharge. We investigated whether an early follow-up at outpatient care within 2 weeks after discharge affects the long-term readmission rate and prognosis.Methods and resultsWe reviewed consecutive 1002 patients admitted to our hospital due to CHF. Two-hundred and fifty-nine patients who died in-hospital or were transferred to another hospital or readmitted within 2 weeks were excluded and 743 of discharged patients were analysed. We extracted contributing variables associated with heart failure (HF) readmission and the composite adverse outcome (all cause death or HF readmissions) by univariate and multivariate analysis. Multivariate analysis showed that the early follow-up was independently associated with freedom from HF readmission and the composite outcome. We divided these patients into two groups, with/without early follow-up and performed a propensity score-matching analysis (n = 259 each). HF readmission during 2 year follow-up was significantly less in the early follow-up group [P = 0.02, hazard ratio (HR) = 0.647, 95% confidence interval (CI) = 0.447-0.935] as well as the composite outcome was less in the early follow-up group (P = 0.01, HR = 0.643, 95% CI = 0.456-0.908). Medication adjustments were done in only 33.2% of the patients. Rates of HF readmissions were comparable regardless of whether or not medication adjustment was done at the early follow-up (P = 0.505, HR = 1.208, 95% CI = 0.692-2.106).ConclusionsThe present study demonstrates that an early follow-up approach after discharge in CHF patients may improve the long-term prognosis. These results may not depend on medication adjustment but rather on modifying patient factors early after discharge.
| S-EPMC8318498 | biostudies-literature
Project description:BackgroundInflammation contributes to the progression of heart failure (HF). However, long-term inflammatory trajectories and their associations with outcomes in patients with acute HF remain unclear.MethodsData was obtained from the China Patient-Centered Evaluative Assessment of Cardiac Events Prospective Heart Failure Study, and high-sensitivity C-reactive protein (hsCRP) was used to reflect the inflammatory level. Only patients who survived over 12-month and had hsCRP data at admission, 1-, and 12-month after discharge were included. The latent class trajectory modeling was used to characterize hsCRP trajectories. Multivariable Cox regression models were used to explore the association between hsCRP trajectories and following mortality.ResultsTotally, 1281 patients with a median 4.77 (interquartile range [IQR]: 4.24-5.07) years follow-up were included. The median age was 64 years (IQR: 54-73 years); 453 (35.4%) were female. Four distinct inflammatory trajectories were characterized: persistently low (n = 419, 32.7%), very high-marked decrease (n = 99, 7.7%), persistently high (n = 649, 50.7%), and persistently very high (n = 114, 8.9%). Compared with the persistently low trajectory, the all-cause mortality was increased in a graded pattern in the persistently high (hazard ratio [HR]: 1.59, 95% confidence interval [CI]: 1.23-2.07) and persistently very high (HR: 2.56, 95% CI: 1.83-3.70) trajectories; nevertheless, the mortality was not significantly increased in very high-marked decrease trajectory (HR: 0.94, 95% CI: 0.57-1.54).ConclusionFour distinct inflammatory trajectories were identified among patients with acute HF who survived over 12-month. Patients with persistently high and very high trajectories had significantly higher mortality than those with the persistently low trajectory.
| S-EPMC9891160 | biostudies-literature
Project description:IntroductionHeart failure (HF) has emerged as an important and increasing disease burden in India. We present the 5-year outcomes of patients hospitalized for HF in India.MethodsThe Trivandrum Heart Failure Registry (THFR) recruited consecutive patients admitted for acute HF among 16 hospitals in Trivandrum, Kerala in 2013. Guideline-directed medical therapy (GDMT) was defined as the combination of beta-blockers (BB), renin angiotensin system blockers (RAS), and mineralocorticoid receptor antagonists (MRA) in patients with HF with reduced ejection fraction (HFrEF, EF < 40%) at discharge. We used Cox proportional hazards models and Kaplan-Meier survival plots for analysis. The MAGGIC risk score variables were included as exposure variables.ResultsAmong 1205 patients [69% male, mean (SD) age = 61.2 (13.7) years], HFrEF constituted 62% of patients and among them, 25% received GDMT. The 5-year mortality rate was 59% (n = 709 deaths), and median survival was 3.1 years. Sudden cardiac death and pump failure caused 46% and 49% of the deaths, respectively. In the multivariate Cox model, components of GDMT associated with lower 5-year mortality risks were discharge prescription of BB, RAS blocker, and MRA. Older age, lower systolic blood pressure, NYHA class III or IV, and higher serum creatinine were also associated with higher 5-year mortality.ConclusionsThree out of every 5 patients had died during 5-years of follow-up with a median survival of approximately 3 years. Lack of GDMT in patients with HFrEF and frequent readmissions were associated with higher 5-year mortality. Quality improvement programmes with strategies to improve adherence to GDMT and reduction in readmissions may improve HF outcomes in this region.
| S-EPMC10424638 | biostudies-literature
Project description:BACKGROUND:Patients hospitalized with heart failure suffer the highest rates of 30-day readmission among other clinically defined patient populations in the United States. Investigation into the predictability of 30-day readmissions can lead to clinical decision support tools and targeted interventions that can help care providers to improve individual patient care and reduce readmission risk. OBJECTIVE:This study aimed to develop a dynamic readmission risk prediction model that yields daily predictions for patients hospitalized with heart failure toward identifying risk trajectories over time and identifying clinical predictors associated with different patterns in readmission risk trajectories. METHODS:A two-stage predictive modeling approach combining logistic and beta regression was applied to electronic health record data accumulated daily to predict 30-day readmission for 534 hospital encounters of patients with heart failure over 2750 patient days. Unsupervised clustering was performed on predictions to uncover time-dependent trends in readmission risk over the patient's hospital stay. We used data collected between September 1, 2013, and August 31, 2015, from a community hospital in Maryland (United States) for patients with a primary diagnosis of heart failure. Patients who died during the hospital stay or were transferred to other acute care hospitals or hospice care were excluded. RESULTS:Readmission occurred in 107 (107/534, 20.0%) encounters. The out-of-sample area under curve for the 2-stage predictive model was 0.73 (SD 0.08). Dynamic clinical predictors capturing laboratory results and vital signs had the highest predictive value compared with demographic, administrative, medical, and procedural data included. Unsupervised clustering identified four risk trajectory groups: decreasing risk (131/534, 24.5% encounters), high risk (113/534, 21.2%), moderate risk (177/534, 33.1%), and low risk (113/534, 21.2%). The decreasing risk group demonstrated change in average probability of readmission from admission (0.69) to discharge (0.30), whereas the high risk (0.75), moderate risk (0.61), and low risk (0.39) groups maintained consistency over the hospital course. A higher level of hemoglobin, larger decrease in potassium and diastolic blood pressure from admission to discharge, and smaller number of past hospitalizations are associated with decreasing readmission risk (P<.001). CONCLUSIONS:Dynamically predicting readmission and quantifying trends over patients' hospital stay illuminated differing risk trajectory groups. Identifying risk trajectory patterns and distinguishing predictors may shed new light on indicators of readmission and the isolated effects of the index hospitalization.
| S-EPMC6781727 | biostudies-literature
Project description:Testosterone deficiency in patients with heart failure (HF) is associated with decreased exercise capacity and mortality; however, its impact on hospital readmission rate is uncertain. Furthermore, the relationship between testosterone deficiency and sympathetic activation is unknown.We investigated the role of testosterone level on hospital readmission and mortality rates as well as sympathetic nerve activity in patients with HF.Total testosterone (TT) and free testosterone (FT) were measured in 110 hospitalized male patients with a left ventricular ejection fraction < 45% and New York Heart Association classification IV. The patients were placed into low testosterone (LT; n = 66) and normal testosterone (NT; n = 44) groups. Hypogonadism was defined as TT < 300 ng/dL and FT < 131 pmol/L. Muscle sympathetic nerve activity (MSNA) was recorded by microneurography in a subpopulation of 27 patients.Length of hospital stay was longer in the LT group compared to in the NT group (37 ± 4 vs. 25 ± 4 days; p = 0.008). Similarly, the cumulative hazard of readmission within 1 year was greater in the LT group compared to in the NT group (44% vs. 22%, p = 0.001). In the single-predictor analysis, TT (hazard ratio [HR], 2.77; 95% confidence interval [CI], 1.58-4.85; p = 0.02) predicted hospital readmission within 90 days. In addition, TT (HR, 4.65; 95% CI, 2.67-8.10; p = 0.009) and readmission within 90 days (HR, 3.27; 95% CI, 1.23-8.69; p = 0.02) predicted increased mortality. Neurohumoral activation, as estimated by MSNA, was significantly higher in the LT group compared to in the NT group (65 ± 3 vs. 51 ± 4 bursts/100 heart beats; p < 0.001).These results support the concept that LT is an independent risk factor for hospital readmission within 90 days and increased mortality in patients with HF. Furthermore, increased MSNA was observed in patients with LT.
| S-EPMC4592174 | biostudies-literature
Project description:BACKGROUND:Although hospital readmission for heart failure (HF) is an issue for both men and women, little is known about differences in readmission rates by sex. Consequently, strategies to optimize readmission reduction programs and care strategies for women and men remain unclear. Our study aims were: (1) to identify studies examining readmission rates according to sex, and (2) to provide a qualitative overview of possible considerations for the impact of sex or gender. METHODS:We conducted a scoping review using the Arksey and O'Malley framework to include full text articles published between 2002 and 2017 drawn from multiple databases (MEDLINE, EMBASE), grey literature (i.e. National Technical information, Duck Duck Go), and expert consultation. Eligible articles included an index heart failure episode, readmission rates, and sex/gender-based analysis. RESULTS:The search generated 5887 articles, of which 746 underwent full abstract text consideration for eligibility. Of 164 eligible articles, 34 studies addressed the primary outcome, 103 studies considered sex differences as a secondary outcome and 25 studies stratified data for sex. Good inter-rater agreement was reached: 83% title/abstract; 88% full text; kappa: 0.69 (95%CI: 0.53-0.85). Twelve of 34 studies reported higher heart failure readmission rates for men and six studies reported higher heart failure readmission rates for women. Using non composite endpoints, five studies reported higher HF readmission rates for men compared to three studies reporting higher HF readmission rates for women. Overall, there was heterogeneity between studies when examined by sex, but one observation emerged that was related to the timing of readmissions. Readmission rates for men were higher when follow-up duration was longer than 1 year. Women were more likely to experience higher readmission rates than men when time to event was less than 1 year. CONCLUSIONS:Future studies should consider different time horizons in their designs and avoid the use of composite measures, such as readmission rates combined with mortality, which are highly skewed by sex. Co-interventions and targeted post-discharge approaches with attention to sex would be of benefit to the HF patient population.
| S-EPMC7222562 | biostudies-literature
Project description:BackgroundTotal knee arthroplasty is a commonly performed procedure and an important contributor to national health care spending. Reducing the incidence of readmission could have important consequences for patient well-being and relevant financial implications. Whether regional anesthesia techniques are associated with decreased readmission rates and costs among privately insured patients remains unknown.MethodsUsing administrative claims data, we identified 138,362 privately insured patients 18-64 years of age who underwent total knee arthroplasty between 2002 and 2013. We then examined whether the use of a nerve block was associated with decreases in readmission rates and related costs during the 90 days after discharge. Our analyses were adjusted for potential confounding variables including medical comorbidities and previous use of opioids and other medications.ResultsAfter adjusting for patient demographics, comorbidities, and preoperative medication use, the adjusted 90-day readmission rate was 1.8% (95% confidence interval [CI], 1.1-2.4) among patients who did not receive a block compared to 1.7% (95% CI, 1.1-2.4) among patients who did (odds ratio, 0.99; 95% CI, 0.91-1.09; P = .85). The adjusted readmission-related postoperative cost for patients who did not receive a block was $561 (95% CI, 502-619) and $574 (95% CI, 508-639) for patients who did (difference, $13; 95% CI, -75 to 102; P = .74). This lack of statistically significant differences held for subgroup and sensitivity analyses.ConclusionsNerve blocks were not associated with improved measures of long-term postoperative resource use in this younger, privately insured study population.
| S-EPMC6605076 | biostudies-literature