Background: Traditional fasting rules for children prior to elective operations ("6‑4‑2 rule") often lead to prolonged fasting times with possible adverse events (discomfort, hypoglycemia, metabolic disorders, agitation/delirium). A new liberal fasting policy allowing children to drink clear fluids until being called to the operating room ("6‑4‑0") was established in our university hospital. This article describes our experiences and retrospectively examines the effects.
Objective: Evaluation of real fasting times before and up to 6 months after the intervention (success and durability of changing fasting policy). Evaluation of impact on outcome parameters, such as patients' resp. parents' satisfaction as well as perioperative agitation, arterial hypotension after induction and postoperative nausea and vomiting (PONV).
Material And Methods: Retrospective evaluation of methods and interventions from 1 month before to 6 months after changing the fasting policy (June-December 2020). Statistical analysis using descriptive statistics, odds ratio and χ-test.
Results: Of 216 analyzed patients 44 were in the pre-change group and 172 in the post-change group. We could significantly reduce clear fluids fasting times over the 6 months after the intervention (median fasting time: from 6.1 h to 4.5 h; p = 0.034) and achieve our aim (fasting time for clear fluids less than or equal to 2h) in 47% of the patients. Fasting times became longer again reaching pre-change intervals in the 4th and 5th month, so reminder measures turned out to be necessary. By reminding the staff we could reduce fasting times again in the 6th month and restore patients' resp. parents' satisfaction. Satisfaction was improved by shorter fasting times (median school grade from 2.8 to 2.2; p = 0.004; odds ratio for better satisfaction 5.24, 2.1-13.2), and preoperative agitation was reduced (agitation modified PAED scale 1-2 in only 34.5% instead of 50%, p = 0.032). In the liberal fasting group, we observed a nonsignificant smaller incidence of hypotension after induction (7% vs. 14%, p = 0.26) while PONV was too rare in both groups for statistical purposes.
Conclusion: With multiple interventions we could significantly reduce fasting times for clear fluids and improve patients' resp. parents' satisfaction as well as preoperative agitation. These interventions included regular presence in all staff meetings, a handout for both parents and staff, as well as a remark on the anesthesia protocol. Children who were operated on later in the day, benefited most from the new liberal fasting policy as they were allowed to drink until being called to the operating room. Following our experience, we consider simple and safe fasting rules for the whole staff as most important for change management. Nevertheless, we could not reduce the fasting intervals in all cases and had to remind the staff after 5 months to preserve this success. For enduring success, we suggest regular staff updates during the change process instead of one single kick-off information event.
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http://dx.doi.org/10.1007/s00101-023-01303-2 | DOI Listing |
Gut Microbes
December 2025
Centre de Recherche en Nutrition Humaine - Rhône-Alpes, INSERM, INRAe, Université Claude Bernard Lyon1, Hospices Civils de Lyon, Pierre Bénite, France.
The development of cardiometabolic (CM) diseases is associated with chronic low-grade inflammation, partly linked to alterations of the gut microbiota (GM) and reduced intestinal integrity. The SINFONI project investigates a multifunctional (MF) nutritional strategy's impact combining different bioactive compounds on inflammation, GM modulation and CM profile. In this randomized crossover-controlled study, 30 subjects at CM-risk consumed MF cereal-products, enriched with polyphenols, fibers, slowly-digestible starch, omega-3 fatty acids or Control cereal-products (without bioactive compounds) for 2 months.
View Article and Find Full Text PDFEndocr Pract
December 2024
Department of Endocrinology, Indraprastha Apollo Hospitals, New Delhi, Delhi 110076, India.
Objective: No meta-analysis has holistically analyzed and summarized the efficacy and safety of the novel once-weekly basal insulin efsitora alfa in managing type 1 diabetes (T1D) and type 2 diabetes (T2D).
Methods: Clinical trials involving subjects with T1D and T2D receiving once-weekly efsitora alfa in the intervention arm and once-daily basal insulins in the control arm were searched throughout the electronic databases. The primary outcome assessed was the change from baseline in HbA1c.
Lancet Infect Dis
December 2024
MMV Medicines for Malaria Venture, Geneva, Switzerland.
Background: Novel antimalarials are needed to address emerging resistance to artemisinin and partner drugs. We did two trials to evaluate safety, tolerability, pharmacokinetics, and activity against blood stage Plasmodium falciparum for the drug candidate MMV533.
Methods: A phase 1a first-in-human (FIH) trial was conducted at Nucleus Network (Melbourne, VIC, Australia).
Biochem Biophys Res Commun
December 2024
Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, China; Qingdao Key Laboratory of Thyroid Diseases, Medical Research Cente, Qingdao, China. Electronic address:
Diabetic nephropathy (DN) is one of the most severe kidney complications and the primary contributor to end-stage renal disease on a global scale. It exacerbates the morbidity, mortality, and financial burden for individuals with diabetes. Isoquercitrin, a natural compound found in various plants, has demonstrated potential as an antidiabetic agent.
View Article and Find Full Text PDFBMC Med Res Methodol
December 2024
Department of Military Health Statistics, Faculty of Preventive Medicine, Air Force Medical University/Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Xi'an, Shaanxi, China.
Background: Accurate fasting plasma glucose (FPG) trend prediction is important for management and treatment of patients with type 2 diabetes mellitus (T2DM), a globally prevalent chronic disease. (Generalised) linear mixed-effects (LME) models and machine learning (ML) are commonly used to analyse longitudinal data; however, the former is insufficient for dealing with complex, nonlinear data, whereas with the latter, random effects are ignored. The aim of this study was to develop LME, back propagation neural network (BPNN), and mixed-effects NN models that combine the 2 to predict FPG levels.
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