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Effects of not monitoring gastric residual volume in intensive care patients: A meta-analysis.
Wang, Z, Ding, W, Fang, Q, Zhang, L, Liu, X, Tang, Z
International journal of nursing studies. 2019;:86-93
Abstract
BACKGROUND Monitoring gastric residual volume has been a common practice in intensive care patients receiving enteral feeding worldwide. Recent studies though, have challenged the reliability and necessity of this routine monitoring process. Several studies even reported improvements in the delivery of enteral feeding without monitoring gastric residual volume, while incurring no additional adverse events. However, the benefit of monitoring gastric residual volume remains controversial in intensive care patients. OBJECTIVE The aim of this review is to identify the effects of not monitoring gastric residual volume in intensive care patients through a meta-analysis of the data pooled from published studies that meet our inclusion criteria. DESIGN A systematic review DATA SOURCES An electronic search of Embase, Pubmed, and the Cochrane Library was completed up to April 2018. The data included basic population characteristics, related complications, mortality, duration of mechanical ventilation and intensive care unit length of stay. REVIEW METHODS Eligibility and methodological quality of the studies were assessed by two researchers independently according to the Joanna Briggs Institute guidelines. The Review Manager Software was used to calculate the pooled risk ratio (RR), weighted mean difference, and the corresponding 95% confidential interval (95% CI). Sensitivity analyses were done by excluding each study. Publication bias analyses were conducted to avoid the exaggerated effect of the overall estimates. RESULTS Five studies involving 998 patients were included in this meta-analysis. Compared with monitoring gastric residual volume, not monitoring gastric residual volume decreased the rate of feeding intolerance in critically ill patients (RR = 0.61, 95%CI 0.51-0.72), and did not result in an increment in the rate of mortality (RR = 0.97, 95%CI 0.73-1.29, P = 0.84) or the rate of ventilator-associated pneumonia (RR = 1.03, 95%CI 0.74-1.44, P = 0.85). There were also no differences in the duration of mechanical ventilation (MD = 0.09, 95%CI, -0.99 to 1.16, P = 0.88) or intensive care unit length of stay (MD=-0.18, 95%CI, -1.52 to 1.17, P = 0.79). CONCLUSION Except for an increased risk of vomiting, the absence of monitoring gastric residual volume was not inferior to routine gastric residual volume monitoring in terms of feeding intolerance development, mortality, and ventilator-associated pneumonia in intensive care patients. There is encouraging evidence that not measuring gastric residual volume does not induce additional harm to the patients. More multicenter, randomized clinical trials are required to verify these findings.
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Metabolic Management during Critical Illness: Glycemic Control in the ICU.
Honiden, S, Inzucchi, SE
Seminars in respiratory and critical care medicine. 2015;(6):859-69
Abstract
Hyperglycemia is a commonly encountered metabolic derangement in the ICU. Important cellular pathways, such as those related to oxidant stress, immunity, and cellular homeostasis, can become deranged with prolonged and uncontrolled hyperglycemia. There is additionally a complex interplay between nutritional status, ambient glucose concentrations, and protein catabolism. While the nuances of glucose management in the ICU have been debated, results from landmark studies support the notion that for most critically ill patients moderate glycemic control is appropriate, as reflected by recent guidelines. Beyond the target population and optimal glucose range, additional factors such as hypoglycemia and glucose variability are important metrics to follow. In this regard, new technologies such as continuous glucose sensors may help alleviate the risks associated with such glucose fluctuations in the ICU. In this review, we will explore the impact of hyperglycemia upon critical cellular pathways and how nutrition provided in the ICU affects blood glucose. Additionally, important clinical trials to date will be summarized. A practical and comprehensive approach to glucose management in the ICU will be outlined, touching upon important issues such as glucose variability, target population, and hypoglycemia.
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3.
Diagnostic performance of fluorine-18-fluorodeoxyglucose positron emission tomography in the postchemotherapy management of patients with seminoma: systematic review and meta-analysis.
Treglia, G, Sadeghi, R, Annunziata, S, Caldarella, C, Bertagna, F, Giovanella, L
BioMed research international. 2014;:852681
Abstract
OBJECTIVE To meta-analyze published data about the diagnostic performance of fluorine-18-Fluorodeoxyglucose ((18)F-FDG) positron emission tomography (PET) and PET/computed tomography (PET/CT) in the postchemotherapy management of patients with seminoma. METHODS A comprehensive literature search of studies published through January 2014 on this topic was performed. All retrieved studies were reviewed and qualitatively analyzed. Pooled sensitivity and specificity, positive and negative predictive values (PPV and NPV), accuracy, and area under the summary ROC curve (AUC) of (18)F-FDG-PET or PET/CT on a per examination-based analysis were calculated. Subgroup analyses considering the size of residual/recurrent lesions were carried out. RESULTS Nine studies including 375 scans were selected. The pooled analysis provided the following results: sensitivity 78% (95% confidence interval (95% CI): 67-87%), specificity 86% (95% CI: 81-89%), PPV 58% (95% CI: 48-68%), NPV 94% (95% CI: 90-96%), and accuracy 84% (95% CI: 80-88%). The AUC was 0.90. A better diagnostic accuracy of (18)F-FDG-PET or PET/CT in evaluating residual/recurrent lesions >3 cm compared to those <3 cm was found. CONCLUSIONS (18)F-FDG-PET and PET/CT were demonstrated to be accurate imaging methods in the postchemotherapy management of patients with seminoma; nevertheless possible sources of false-negative and false-positive results should be considered. The literature focusing on this setting still remains limited and cost-effectiveness analyses are warranted.
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[Accelerometer description as a method to assess physical activity in different periods of life; systematic review].
Aguilar Cordero, MJ, Sánchez López, AM, Guisado Barrilao, R, Rodríguez Blanque, R, Noack Segovia, J, Pozo Cano, MD
Nutricion hospitalaria. 2014;(6):1250-61
Abstract
INTRODUCTION The accelerometer is shown as one of the most accurate techniques in recording and saving the amount and level of physical activity, by each person in a given period of time. AIMS This review aims to describe and analyze the main items that use this method to assess physical activity. METHODS The review articles were identified through the following specialized Internet browser: SCOPUS, PUBMED, GOOGLE SCHOLAR, those were selected for inclusion with a total of 56 items. The validity of the articles was given by the degree of evidence demonstrated by describing the recommendations and the applicability to our context. This review has considered studies evaluating physical activity through accelerometers. RESULTS The results show that this method can be used in ages 3 to 90 years. It can also be used in subjects with overweight/obesity, articulation injuries, Down syndrome (just children), autism and people with psychological problems. Studies in pregnant women show satisfactory results. CONCLUSION The literature reviewed provides the accelerometer as a reliable and effective method to assess physical activity.
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5.
A meta-analysis of pedometer-based walking interventions and weight loss.
Richardson, CR, Newton, TL, Abraham, JJ, Sen, A, Jimbo, M, Swartz, AM
Annals of family medicine. 2008;(1):69-77
Abstract
PURPOSE Cross-sectional studies show that individuals who walk more tend to be thinner than those who walk less. This does not mean, however, that the association between higher step counts and lower weight is causal or that encouraging sedentary individuals to increase step counts helps them lose weight. METHODS In this meta-analysis, we searched 6 electronic databases and contacted pedometer experts to identify pedometer-based walking studies without a dietary intervention that reported weight change as an outcome. We included randomized controlled trials and prospective cohort studies published after January 1, 1995, in either English or Japanese, with 5 or more adult participants and at least 1 cohort enrolled in a pedometer-based walking intervention lasting at least 4 weeks. RESULTS Nine studies met the study inclusion criteria. Cohort sample size ranged from 15 to 106, for a total of 307 participants, 73% of whom were women and 27% of whom were men. The duration of the intervention ranged from 4 weeks to 1 year, with a median duration of 16 weeks. The pooled estimate of mean weight change from baseline using a fixed-effects model and combining data from all 9 cohorts was -1.27 kg (95% confidence interval, -1.85 to -0.70 kg). Longer intervention duration was associated with greater weight change. On average, participants lost 0.05 kg per week during the interventions. CONCLUSION Pedometer-based walking programs result in a modest amount of weight loss. Longer programs lead to more weight loss than shorter programs.