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Higher-Calorie Refeeding in Anorexia Nervosa: 1-Year Outcomes From a Randomized Controlled Trial.
Golden, NH, Cheng, J, Kapphahn, CJ, Buckelew, SM, Machen, VI, Kreiter, A, Accurso, EC, Adams, SH, Le Grange, D, Moscicki, AB, et al
Pediatrics. 2021;(4)
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Abstract
BACKGROUND AND OBJECTIVES We recently reported the short-term results of this trial revealing that higher-calorie refeeding (HCR) restored medical stability earlier, with no increase in safety events and significant savings associated with shorter length of stay, in comparison with lower-calorie refeeding (LCR) in hospitalized adolescents with anorexia nervosa. Here, we report the 1-year outcomes, including rates of clinical remission and rehospitalizations. METHODS In this multicenter, randomized controlled trial, eligible patients admitted for medical instability to 2 tertiary care eating disorder programs were randomly assigned to HCR (2000 kcals per day, increasing by 200 kcals per day) or LCR (1400 kcals per day, increasing by 200 kcals every other day) within 24 hours of admission and followed-up at 10 days and 1, 3, 6, and 12 months post discharge. Clinical remission at 12 months post discharge was defined as weight restoration (≥95% median BMI) plus psychological recovery. With generalized linear mixed effect models, we examined differences in clinical remission over time. RESULTS Of 120 enrollees, 111 were included in modified intent-to-treat analyses, 60 received HCR, and 51 received LCR. Clinical remission rates changed over time in both groups, with no evidence of significant group differences (P = .42). Medical rehospitalization rates within 1-year post discharge (32.8% [19 of 58] vs 35.4% [17 of 48], P = .84), number of rehospitalizations (2.4 [SD: 2.2] vs 2.0 [SD: 1.6]; P = .52), and total number of days rehospitalized (6.0 [SD: 14.8] vs 5.1 [SD: 10.3] days; P = .81) did not differ by HCR versus LCR. CONCLUSIONS The finding that clinical remission and medical rehospitalization did not differ over 1-year, in conjunction with the end-of-treatment outcomes, support the superior efficacy of HCR as compared with LCR.
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A multicenter propensity score matched analysis in 73,843 patients of an association of nutritional risk with mortality, length of stay and readmission rates.
Meulemans, A, Matthys, C, Vangoitsenhoven, R, Sabino, J, Van Der Schueren, B, Maertens, P, Pans, C, Stijnen, P, Bruyneel, L
The American journal of clinical nutrition. 2021;(3):1123-1130
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BACKGROUND The reported prevalences and effects of nutritional risk vary widely in the literature because of both methodological differences (e.g., screening tools and statistical analyses) and different patient populations. OBJECTIVE In this study the authors analyzed in-hospital mortality, 30-d mortality, readmission within 4 mo, and justified length of stay (jLoS) (determined by governmental assessment to justify financial compensation) in hospitalized patients nutritionally at risk compared with hospitalized patients not at risk. DESIGN This was a multicenter retrospective cohort study in 6 Belgian hospitals among inpatients in 2018. Propensity score matching was applied, including comorbidity score and exact matching for hospital, age group, sex, type of admission, living situation, and medical specialty. RESULTS In total, 73,843 of 85,677 patients were screened at admission, with 16,141 found to have nutritional risk (prevalence of 21.9%). Oncology patients had the highest risk prevalence of 38.3%, whereas patients receiving plastic or reconstructive surgery had a prevalence of 5.2%. Patients nutritionally at risk had higher odds of dying in the hospital (5.1% compared with 3.3%; OR: 1.56; 95% CI: 1.37, 1.76), dying within 30 d of admission (6.8% compared with 4.3%; OR: 1.62; 95% CI: 1.45, 1.81) and being readmitted within 4 mo after discharge (35.5% compared with 32.9%; OR: 1.12; 95% CI: 1.07, 1.18). These differences were consistent across hospitals. The association between being nutritionally at risk and jLoS was ambiguous. CONCLUSIONS One out of 5 patients included in this study was nutritionally at risk. Using propensity score matching, higher odds of in-hospital mortality, readmission, and 30-d mortality were observed. In contrast to oft-reported increased length of stay with poor nutrition, propensity matched data for jLoS suggested that this association was less pronounced in this cohort.
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Phenotype is sustained during hospital readmissions following treatment for complicated severe malnutrition among Kenyan children: A retrospective cohort study.
Gonzales, GB, Ngari, MM, Njunge, JM, Thitiri, J, Mwalekwa, L, Mturi, N, Mwangome, MK, Ogwang, C, Nyaguara, A, Berkley, JA
Maternal & child nutrition. 2020;(2):e12913
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Hospital readmission is common among children with complicated severe acute malnutrition (cSAM) but not well-characterised. Two distinct cSAM phenotypes, marasmus and kwashiorkor, exist, but their pathophysiology and whether the same phenotype persists at relapse are unclear. We aimed to test the association between cSAM phenotype at index admission and readmission following recovery. We performed secondary data analysis from a multicentre randomised trial in Kenya with 1-year active follow-up. The main outcome was cSAM phenotype upon hospital readmission. Among 1,704 HIV-negative children with cSAM discharged in the trial, 177 children contributed a total of 246 readmissions with cSAM. cSAM readmission was associated with age<12 months (p = .005), but not site, sex, season, nor cSAM phenotype. Of these, 42 children contributed 44 readmissions with cSAM that occurred after a monthly visit when SAM was confirmed absent (cSAM relapse). cSAM phenotype was sustained during cSAM relapse. The adjusted odds ratio for presenting with kwashiorkor during readmission after kwashiorkor at index admission was 39.3 [95% confidence interval (95% CI) [2.69, 1,326]; p = .01); and for presenting with marasmus during readmission after kwashiorkor at index admission was 0.02 (95% CI [0.001, 0.037]; p = .01). To validate this finding, we examined readmissions to Kilifi County Hospital, Kenya occurring at least 2 months after an admission with cSAM. Among 2,412 children with cSAM discharged alive, there were 206 readmissions with cSAM. Their phenotype at readmission was significantly influenced by their phenotype at index admission (p < .001). This is the first report describing the phenotype and rate of cSAM recurrence.
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Prevalence and Risk Factors for Bariatric Surgery Readmissions: Findings From 130,007 Admissions in the Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program.
Berger, ER, Huffman, KM, Fraker, T, Petrick, AT, Brethauer, SA, Hall, BL, Ko, CY, Morton, JM
Annals of surgery. 2018;(1):122-131
Abstract
OBJECTIVE To evaluate readmissions following laparoscopic adjustable gastric banding (LAGB), laparoscopic sleeve gastrectomy (LSG), and laparoscopic Roux-en-Y gastric bypass (LRYGB). BACKGROUND Few studies have evaluated national readmission rates for primary bariatric surgery with national, bariatric-specific data. METHODS Patients undergoing primary LAGB, LSG, or LRYGB from January 1, 2014 to December 31, 2014, at 698 centers were identified based upon Current Procedural Terminology codes. The primary outcome was 30-day readmission from date of initial operation. RESULTS A total of 130,007 patients who underwent primary bariatric surgery were identified: 7378 LAGB (5.7%), 80,646 LSG (62.0%), and 41,983 LRYGB (32.3%). A total of 5663 (4.4%) patients were readmitted within 30 days for all causes. Patients undergoing LAGB had the lowest related readmission rate of 1.4%, followed by LSG (2.8%), and LRYGB (4.9%). Of patients who had a complication, 17.9% (n = 785) were readmitted, whereas those without readmission had a complication 1.9% of the time (P < 0.001). The most common cause of a related readmission was nausea, vomiting, fluid, electrolyte, and nutritional depletion (35.4%), followed by abdominal pain (13.5%), anastomotic leak (6.4%), and bleeding (5.8%), accounting for more than 61% of readmissions. When compared with LAGB, LSG, and LRYGB had significantly higher rates of readmission (LSG: odds ratio 1.89; 95% confidence interval 1.52-2.33; LRYGB odds ratio 3.06; 95% confidence interval 2.46-3.81). CONCLUSIONS National bariatric readmissions after primary procedures were closely associated with complications, varied based on the type of procedure, and were most commonly due to nausea, vomiting, electrolyte, and nutritional depletion.
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Serious Adverse Events Associated with Readmission Through One Year After Vertebral Augmentation with Either a Polyetheretherketone Implant or Balloon Kyphoplasty.
Beall, DP, Coe, JD, McIlduff, M, Bloch, D, Hornberger, J, Warner, C, Tutton, S
Pain physician. 2017;(6):521-528
Abstract
BACKGROUND The KAST (Kiva Safety and Efficacy) investigation device exempt (IDE) study indicated that the majority of patients responded equally well to vertebral augmentation using either an implant-based approach or balloon kyphoplasty (BK). Additional investigation has suggested that a subset of patients may benefit further by avoiding repeated readmissions due to serious adverse events (SAEs) if they receive one vertebral augmentation approach over another. OBJECTIVES The primary aim was to assess the effect of 2 different augmentation procedures on readmission rates for SAEs. STUDY DESIGN The KAST trial is a pivotal, multicenter, randomized, controlled trial conducted to evaluate an implant-based vertebral augmentation approach (implant) against BK. Post-hoc analysis was performed to evaluate SAEs and readmission rates. SETTING Twenty-one sites in North America and Europe. METHODS The treatment effect of vertebral implant versus BK on SAEs requiring unplanned readmission was evaluated by estimating the risk of SAEs associated with readmissions in KAST while controlling for key baseline covariates using multivariate Poisson regression modeling. RESULTS Forty (27.8%) patients with implants had 69 SAEs associated with readmission compared to 44 (31.2%) patients with BK having 103 events. The risk for all SAEs leading to readmission was 34.4% lower with the implant than for BK (95% confidence interval = 11.1%, 51.7%; P < 0.01). Multivariate analysis showed that the risk of SAEs associated with readmission was decreased in subjects treated with the implant compared to BK, and increased in patients with prior histories of vertebral compression fractures (VCFs) or significant osteoporosis. LIMITATIONS The power of the KIVA study was based on clinical efficacy criteria to meet FDA requirements and recommendations for equivalency or noninferiority. The primary endpoint in this post-hoc analysis is SAEs associated with readmissions; as a result, the sample size is underpowered, although the results remain significant. CONCLUSION The augmentation approaches compared here have similar pain relief and quality of life effects; the implant showed a lower risk of readmissions. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT01123512. Key words: Vertebral compression fracture, kiva implant, balloon kyphoplasty, vertebroplasty, health economics, osteoporosis.
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Timing and Causes of Readmission After Acute Heart Failure Hospitalization-Insights From the Heart Failure Network Trials.
Vader, JM, LaRue, SJ, Stevens, SR, Mentz, RJ, DeVore, AD, Lala, A, Groarke, JD, AbouEzzeddine, OF, Dunlay, SM, Grodin, JL, et al
Journal of cardiac failure. 2016;(11):875-883
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BACKGROUND Readmission or death after heart failure (HF) hospitalization is a consequential and closely scrutinized outcome, but risk factors may vary by population. We characterized the risk factors for post-discharge readmission/death in subjects treated for acute heart failure (AHF). METHODS AND RESULTS A post hoc analysis was performed on data from 744 subjects enrolled in 3 AHF trials conducted within the Heart Failure Network (HFN): Diuretic Optimization Strategies Evaluation in Acute Heart Failure (DOSE-AHF), Cardiorenal Rescue Study in Acute Decompensated Heart Failure (CARRESS-HF), and Renal Optimization Strategies Evaluation in Acute Heart Failure (ROSE-AHF). All-cause readmission/death occurred in 26% and 38% of subjects within 30 and 60 days of discharge, respectively. Non-HF cardiovascular causes of readmission were more common in the ≤30-day timeframe than in the 31-60-day timeframe (23% vs 10%, P = .016). In a Cox proportional hazards model adjusting a priori for left ventricular ejection fraction <50% and trial, the risk factors for all-cause readmission/death included: elevated baseline blood urea nitrogen, angiotensin-converting enzyme inhibitor (ACEI)/angiotensin receptor blocker (ARB) non-use, lower baseline sodium, non-white race, elevated baseline bicarbonate, lower systolic blood pressure at discharge or day 7, depression, increased length of stay, and male sex. CONCLUSIONS In an AHF population with prominent congestion and prevalent renal dysfunction, early readmissions were more likely to be due to non-HF cardiovascular causes compared with later readmissions. The association between use of ACEI/ARB and lower all-cause readmission/death in Cox proportional hazards model suggests a role for these drugs to improve post-discharge outcomes in AHF.
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Influence of Sacubitril/Valsartan (LCZ696) on 30-Day Readmission After Heart Failure Hospitalization.
Desai, AS, Claggett, BL, Packer, M, Zile, MR, Rouleau, JL, Swedberg, K, Shi, V, Lefkowitz, M, Starling, R, Teerlink, J, et al
Journal of the American College of Cardiology. 2016;(3):241-248
Abstract
BACKGROUND Patients with heart failure (HF) are at high risk for hospital readmission in the first 30 days following HF hospitalization. OBJECTIVES This study sought to determine if treatment with sacubitril/valsartan (LCZ696) reduces rates of hospital readmission at 30-days following HF hospitalization compared with enalapril. METHODS We assessed the risk of 30-day readmission for any cause following investigator-reported hospitalizations for HF in the PARADIGM-HF trial, which randomized 8,399 participants with HF and reduced ejection fraction to treatment with LCZ696 or enalapril. RESULTS Accounting for multiple hospitalizations per patient, there were 2,383 investigator-reported HF hospitalizations, of which 1,076 (45.2%) occurred in subjects assigned to LCZ696 and 1,307 (54.8%) occurred in subjects assigned to enalapril. Rates of readmission for any cause at 30 days were 17.8% in LCZ696-assigned subjects and 21.0% in enalapril-assigned subjects (odds ratio: 0.74; 95% confidence interval: 0.56 to 0.97; p = 0.031). Rates of readmission for HF at 30-days were also lower in subjects assigned to LCZ696 (9.7% vs. 13.4%; odds ratio: 0.62; 95% confidence interval: 0.45 to 0.87; p = 0.006). The reduction in both all-cause and HF readmissions with LCZ696 was maintained when the time window from discharge was extended to 60 days and in sensitivity analyses restricted to adjudicated HF hospitalizations. CONCLUSIONS Compared with enalapril, treatment with LCZ696 reduces 30-day readmissions for any cause following discharge from HF hospitalization.
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Evaluation of Chronic Obstructive Pulmonary Disease (COPD) and reduced ejection fraction heart failure (HFrEF) discharge medication prescribing: Is drug therapy concordant with national guidelines associated with a reduction in 30-day readmissions?
Richardson, A, Tolley, E, Hartmann, J, Reedus, J, Bowlin, B, Finch, C, Sands, CW, Self, T
Respiratory medicine. 2016;:135-140
Abstract
INTRODUCTION Approximately 1 in 5 hospitalized COPD patients are readmitted within 30 days of discharge. CHF coexists in more than 20% of patients with COPD, and is associated with early readmission for COPD. Reducing 30-day hospital readmissions for COPD is of intense current interest. METHODOLOGY A retrospective chart review was performed to identify patients discharged with COPD exacerbation and HFrEF. The primary objective was to evaluate if discharge medication prescribing following guidelines for both COPD and HFrEF correlates with reduced 30-day readmission rates. RESULTS The study included 281 admissions with 39.1% prescribed appropriate discharge medications for both COPD and HFrEF; 30-day readmission rate was 24.5% for these patients compared to 31.1% that were not prescribed appropriate medications (p = 0.24). Beta blockers, ACE inhibitors or ARBS, and aldosterone antagonists were under-prescribed, but this did not significantly associate with increased readmission (p = 0.51, p = 0.23 or 0.99, and p = 0.18, respectively). Those prescribed hydralazine or nitrates were more likely to readmit (both p = 0.01). Diabetes and hyperlipidemia were associated with increased readmission (p = 0.01 and 0.05). CONCLUSIONS This study did not show a significant difference in 30-day readmission rate based on appropriate discharge medications for both COPD and HFrEF. The comorbidities diabetes and hyperlipidemia and prescription of hydralazine or nitrates were significantly associated with increased readmission rate. Larger patient populations may be needed to assess if guideline based discharge medication prescribing is associated with reduced 30-day readmissions for COPD.