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1.
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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Abstract
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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Esophageal Atresia and Respiratory Morbidity.
Lejeune, S, Sfeir, R, Rousseau, V, Bonnard, A, Gelas, T, Aumar, M, Panait, N, Rabattu, PY, Irtan, S, Fouquet, V, et al
Pediatrics. 2021;(3)
Abstract
BACKGROUND AND OBJECTIVES Respiratory diseases are common in children with esophageal atresia (EA), leading to increased morbidity and mortality in the first year. The primary study objective was to identify the factors associated with readmissions for respiratory causes in the first year in EA children. METHODS A population-based study. We included all children born between 2008 and 2016 with available data and analyzed factors at birth and 1 year follow-up. Factors with a P value <.10 in univariate analyses were retained in logistic regression models. RESULTS Among 1460 patients born with EA, 97 (7%) were deceased before the age of 1 year, and follow-up data were available for 1287 patients, who constituted our study population. EAs were Ladd classification type III or IV in 89%, preterm birth was observed in 38%, and associated malformations were observed in 52%. Collectively, 61% were readmitted after initial discharge in the first year, 31% for a respiratory cause. Among these, respiratory infections occurred in 64%, and 35% received a respiratory treatment. In logistic regression models, factors associated with readmission for a respiratory cause were recurrence of tracheoesophageal fistula, aortopexy, antireflux surgery, and tube feeding; factors associated with respiratory treatment were male sex and laryngeal cleft. CONCLUSIONS Respiratory morbidity in the first year after EA repair is frequent, accounting for >50% of readmissions. Identifying high risk groups of EA patients (ie, those with chronic aspiration, anomalies of the respiratory tract, and need for tube feeding) may guide follow-up strategies.
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Prognosis of patients eligible for dapagliflozin in acute heart failure.
Carballo, S, Stirnemann, J, Garin, N, Darbellay Farhoumand, P, Serratrice, J, Carballo, D
European journal of clinical investigation. 2020;(6):e13245
Abstract
BACKGROUND Dapagliflozin, a sodium-glucose cotransporter 2 inhibitor, was shown in the DAPA-HF study to reduce the risk of worsening heart failure or death in symptomatic patients with left ejection fraction <40%, irrespective of diabetes. The aim of this study was to evaluate eligibility status for dapagliflozin in non-selected patients hospitalized for acute decompensated heart failure (ADHF), as well as prognostic implications of this status. MATERIALS AND METHODS Analysis of 815 patients recruited in a prospective cohort of acute heart failure at the University Hospitals of Geneva, consisting of consecutive patients admitted with ADHF. Eligibility for dapagliflozin was determined using criteria described DAPA-HF. RESULTS Of 815 patients, 220 (27%) were eligible for dapagliflozin treatment. In survival analysis, patients who were eligible for dapagliflozin had better clinical outcomes with respect to all-cause mortality and rehospitalization as compared to those who were not eligible. In multivariate analysis, the hazard ratio for all-cause mortality or readmission in patients eligible for dapagliflozin was 0.82 (95% CI 0.68-0.999, P = .049) as compared to the non-eligible. CONCLUSIONS Using DAPA-HF criteria, only 27% of non-selected patients admitted for ADHF are theoretically eligible for dapagliflozin. This eligibility for dapagliflozin is associated with better outcomes. Further evaluation of the benefits of dapagliflozin in selected HF patients may be of interest. This may have implications for selection criteria in future randomized effectiveness studies.
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Predictor Biomarkers of Nonelective Hospital Readmission and Mortality in Malnourished Hospitalized Older Adults.
Pencina, KM, Bhasin, S, Luo, M, Baggs, GE, Pereira, SL, Davis, GJ, Deutz, NE, Travison, TG
The Journal of frailty & aging. 2020;(4):226-231
Abstract
BACKGROUND 90-day mortality and rehospitalizations are important hospital quality metrics. Biomarkers that predict these outcomes among malnourished hospitalized patients could identify those at risk and help direct care plans. OBJECTIVES To identify biomarkers that predict 90-day (primary) and 30-day (secondary) mortality or nonelective rehospitalization. DESIGN AND PARTICIPANTS An analysis of the ability of biomarkers to predict 90- and 30-day mortality and rehospitalization among malnourished hospitalized patients. SETTING 52 blood biomarkers were measured in 193 participants in NOURISH, a randomized trial that determined the effects of a nutritional supplement on 90-day readmission and death in patients >65 years. Composite outcomes were defined as readmission or death over 90-days or 30-days. Univariate Cox Proportional Hazards models were used to select best predictors of outcomes. Markers with the strongest association were included in multivariate stepwise regression. Final model of hospital readmission or death was derived using stepwise selection. MEASUREMENTS Nutritional, inflammatory, hormonal and muscle biomarkers. RESULTS Mean age was 76 years, 51% were men. In univariate models, 10 biomarkers were significantly associated with 90-day outcomes and 4 biomarkers with 30-day outcomes. In multivariate stepwise selection, glutamate, hydroxyproline, tau-methylhistidine levels, and sex were associated with death and readmission within 90-days. In stepwise selection, age-adjusted model that included sex and these 3 amino-acids demonstrated moderate discriminating ability over 90-days (C-statistic 0.68 (95%CI 0.61, 0.75); age-adjusted model that included sex, hydroxyproline and Charlson Comorbidity Index was predictive of 30-day outcomes (C-statistic 0.76 (95%CI 0.68, 0.85). CONCLUSIONS Baseline glutamate, hydroxyproline, and tau-methylhistidine levels, along with sex and age, predict risk of 90-day mortality and nonelective readmission in malnourished hospitalized older patients. This biomarker set should be further validated in prospective studies and could be useful in prognostication of malnourished hospitalized patients and guiding in-hospital care.
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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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Influence of nutrition support therapy on readmission among patients with acute heart failure in the intensive care unit: A single-center observational study.
Miyajima, I, Yatabe, T, Kuroiwa, H, Tamura, T, Yokoyama, M
Clinical nutrition (Edinburgh, Scotland). 2020;(1):174-179
Abstract
BACKGROUND & AIMS The effect of nutrition support therapy on prevention of readmission among patients with acute heart failure (HF) in an intensive care unit (ICU) setting remains unclear. We hypothesized that nutrition support therapy might decrease the readmission rate among these patients. Thus, we conducted a single-center prospective observational study to verify this hypothesis. METHODS Patients diagnosed with acute HF admitted to the ICU for more than 14 days between April 2016 and March 2017 were included in the analysis. The primary outcome was the relationship between nutritional intake and HF-related hospital readmission due to HF at 180 days after discharge. We divided the participants into 2 groups: patients who were not readmitted to hospital within 180 days after discharge (non-readmission group) and patients who were readmitted within this timeframe (HF-related readmission group). Data were expressed as median (interquartile range). RESULTS Sixty patients required readmission due to HF-related events (HF-related readmission group). On the other hand, 127 patients did not require readmission (non-readmission group). The calorie and protein intake on day 3 after ICU admission in the HF-related readmission group was significantly higher than that in the non-readmission group [20.5 (14.2, 27.8) vs. 27.7 (22.5, 31.2) kcal/kg/day, p < 0.001; 0.7 (0.5, 0.9) vs. 0.9 (0.7, 1.2) g/kg/day, p < 0.001, respectively]. Similarly, the protein intake values on day 7 were also significantly higher in the HF-related readmission group [0.8 (0.6, 1.0) vs. 0.9 (0.7, 1.2) g/kg/day, p = 0.04]. Multivariate analysis indicated that total caloric intake on day 3 was an independent factor affecting readmission (odds ratio = 1.05, 95% confidence interval = 1.01-1.09, p = 0.006). In addition, when the cut off value of calorie intake was set to 18 kcal/kg/day, the group ingesting ≥18 kcal/kg/day on day 3 had a significantly higher readmission rate within 180 days after discharge. CONCLUSIONS Our data showed that total calorie intake ≥18 kcal/kg/day on day 3 might increase the readmission rate among patients with acute HF.
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Diabetic ketoacidosis admissions at Middlemore Hospital: observational study of cause and patient demographics.
Lee, JH, Orr-Walker, BJ
The New Zealand medical journal. 2020;(1525):34-40
Abstract
AIM: To analyse data on diabetic ketoacidosis (DKA) admissions to better understand characteristics of those presenting with DKA and identify high-risk groups. METHOD Study population consisted of people with type 1 diabetes discharged from Middlemore Hospital between 01 July 2015 and 30 June 2016 with the diagnosis of DKA. Basic demographic data and socioeconomic status as defined by 2013 New Zealand deprivation index quintiles were obtained, in addition to the cause of DKA. RESULTS There were 69 DKA admissions from 57 people; 35% were Pasifika and 23% Māori. Fifty-six percent were from quintile 5, the quintile with the lowest socioeconomic status. The most common cause of DKA was non-adherence to insulin (59%), followed by infection (16%) and new diagnosis of type 1 diabetes (14%). There was greater proportion of Pasifika and Māori population in those with non-adherence as the cause. CONCLUSION Non-adherence is a major cause of DKA admissions at Middlemore Hospital. When compared to the regional census data, there is over-representation of Pasifika and Māori population and those of lower socioeconomic status in those admitted with DKA. Similar pattern was seen in those with non-adherence as the cause of DKA and those with recurrent DKAs.
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[Comparison of the CONUT method with SGA and NSA for the prediction of complications, hospital stay, readmissions, and mortality].
García-Vazquez, N, Palma Milla, S, López Plaza, B, Valero-Pérez, M, Morato-Martínez, M, Gómez Candela, C
Nutricion hospitalaria. 2020;(4):799-806
Abstract
Introduction: disease-related malnutrition (DRM) is a specific type of malnutrition caused by the inflammatory response to the underlying disease. Its prevalence worldwide varies from 30 % to 50 %, being similar in Spanish hospitals. DRE is not commonly recognized but is usually misdiagnosed and generally not treated. It is associated with an increased risk of morbidity, mortality, and costs. Nutritional societies recommend that screening be performed within the first 24 to 48 hours after admission for the early detection of malnutrition. No screening tool is universally accepted. Objectives: to evaluate the predictive validity (hospital stay, complications, readmissions and mortality) of the CONUT method as compared to SGA and NSA. Material and method: a retrospective study included in a prospective observational study of 365 hospitalized patients from July to December 2012. Results: the most frequent admission services were Internal Medicine and Oncology (30.7 % and 29.3 %). Moderate and severe risk of malnutrition: CONUT, 42.2 % and 12.1 %, SGA 25.8 % and 10.1 %, and NSA 13.7 % and 14.5 %. Malnutrition evaluated using the CONUT method was significantly related to complications (p = 0.036), readmissions (p = 0.041) and mortality (p = 0.007). The ROC curves for mortality, for all the methods evaluated, showed that CONUT is the best tool. Conclusions: CONUT is an automatic detection tool that can be used as a first step in the diagnosis risk of malnutrition. CONUT offers the advantage of being a prognostic factor for complications, readmission, and mortality.
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Effects of Transitional Care on Hospital Readmission and Mortality Rate in Subjects With COPD: A Systematic Review and Meta-Analysis.
Ridwan, ES, Hadi, H, Wu, YL, Tsai, PS
Respiratory care. 2019;(9):1146-1156
Abstract
BACKGROUND Studies on the effect of transitional care on hospital readmissions have reported inconsistent findings, and the effect on mortality has not been reviewed systematically. This systematic review and meta-analysis of randomized controlled trials aims to examine the effect of transitional care interventions on COPD-related readmissions, all-cause hospital readmissions, and all-cause mortality rates in subjects with COPD. METHODS Electronic databases (CINAHL, Embase, Scopus, MEDLINE, Cochrane, PubMed, Web of Science, Airity, BMJ Respiratory Research Journal, and National Digital Library of Theses and Dissertations) were searched from inception to April 26, 2017. Online searches were conducted using key words and MeSH terms for COPD and transitional care. Entry terms for searching included chronic obstructive pulmonary disease, COPD, COPD transitional care or care transition, continuity of patient care, patient discharge, and patient transfer. The quality of the included trials was assessed using the Cochrane Collaboration tool. RESULTS 13 randomized controlled trials met the inclusion criteria. Transitional care significantly reduced the risk of COPD-related readmissions (odds ratio = 0.599, 95% CI 0.421-0.852) and all-cause hospital readmissions (odds ratio = 0.720, 95% CI 0.531-0.978), but not that of all-cause mortality (odds ratio = 0.863, 95% CI 0.576-1.294) in subjects with COPD. The effects of transitional care on hospital readmissions were moderated by the duration of interventions, type of care providers, and use of telephone follow-up as an element of the intervention. CONCLUSIONS There was a significant effect of transitional care on both COPD-related and all-cause hospital readmissions in subjects with COPD. Duration of interventions, type of care providers, and use of telephone follow-up appeared to moderate the beneficial effects of transitional care.