The aim of this review is to present the current options for cardiac output (CO) monitoring in children undergoing cardiac surgery. Current technologies for monitoring identified were a range of invasive, minimally invasive, and non-invasive technologies. These include pulmonary artery catheter, transoesophageal echocardiography, pulse contour analysis, electrical cardiography, and thoracic bioreactance. A literature search was conducted using evidence databases which identified two current guidelines; the NHS Greater Glasgow and Clyde guideline and Royal College of Anaesthetics Guideline. These were appraised using the AGREE II tool and the evidence identified was used to create an overview summary of each technological option for CO monitoring. There is limited evidence regarding the accuracy of modalities available for CO monitoring in paediatric patients during cardiac surgery. Each technology has advantages and disadvantages; however, none could be championed as the most beneficial. Furthermore, a gold standard for CO monitoring has not yet been identified for paediatric populations, nor is it apparent whether one modality is preferable based on the available evidence. Additional evidence using a standardised method for comparing CO measurements should be conducted in order to determine the best option for CO monitoring in paediatrics. Furthermore, cost-effectiveness assessment of each modality should be conducted. Only then will it be possible for clear, evidence-based guidance to be written.
Purpose Delirium is a neuropsychiatric disorder delineated by an acute change in cognition, attention, and consciousness. It is common, particularly in older adults, but poorly recognised. Frailty is the accumulation of deficits conferring an increased risk of adverse outcomes. We set out to determine how severity of frailty, as measured using the CFS, affected delirium rates, and recognition in hospitalised older people in the United Kingdom. Methods Adults over 65 years were included in an observational multi-centre audit across UK hospitals, two prospective rounds, and one retrospective note review. Clinical Frailty Scale (CFS), delirium status, and 30-day outcomes were recorded. Results The overall prevalence of delirium was 16.3% (483). Patients with delirium were more frail than patients without delirium (median CFS 6 vs 4). The risk of delirium was greater with increasing frailty [OR 2.9 (1.8–4.6) in CFS 4 vs 1–3; OR 12.4 (6.2–24.5) in CFS 8 vs 1–3]. Higher CFS was associated with reduced recognition of delirium (OR of 0.7 (0.3–1.9) in CFS 4 compared to 0.2 (0.1–0.7) in CFS 8). These risks were both independent of age and dementia. Conclusion We have demonstrated an incremental increase in risk of delirium with increasing frailty. This has important clinical implications, suggesting that frailty may provide a more nuanced measure of vulnerability to delirium and poor outcomes. However, the most frail patients are least likely to have their delirium diagnosed and there is a significant lack of research into the underlying pathophysiology of both of these common geriatric syndromes.
AimsTo establish rates of pregnancy testing on admission of women within a blended secure service.BackgroundWomen with psychiatric illness are known to be at increased risk of pregnancy, often due to engagement in risky sexual behaviours such as having a higher numbers of sexual partners and engaging in sexual activity whilst under the influence of drugs or alcohol. Awareness of pregnancy at the point of admission to psychiatric hospital would inform ongoing care plans to manage the pregnancy in the safest, least restrictive environment and inform future prescribing decisions, to minimise the risk of teratogenicity associated with some psychotropic medications. Ardenleigh in Birmingham is a blended female secure unit. No pregnancy screening guidelines for this population currently exist. This audit sought to establish current rates of pregnancy testing at the point of admission with a view to developing future guidelines.MethodA retrospective case note audit of electronic records of all patients admitted to Ardenleigh blended women's service as of 1st September 2019 (n = 26). The expected standard for pregnancy testing within one month of admission was set as 100%.ResultKey results include: The majority of patients (67%) were aged under 35 years (range 20–56). The most common ethnicities were Caucasian (42%) and African-Caribbean (38%). Almost half (46%) had a primary diagnosis of paranoid schizophrenia.Two women were known to be pregnant at the point of admission. Only 54% of women with an unknown pregnancy status were screened for pregnancy within one month of admission.Rates of screening were particularly poor in women aged under 25 years (43%) and between 36 and 45 (0%).Women not screened for pregnancy were typically admitted from other hospital settings, including AWA services (27%) or other medium secure units (55%). 2 women admitted from prison were not tested (29%)Of those tested, the majority were checked using urine hCG (92%).None of the women tested were found to be pregnant.ConclusionOverall pregnancy testing on admission to the unit was poor, with only 54% of service users screened. Less than 100% compliance could result in serious consequences for both the woman and unborn baby if a pregnancy is not discovered. Updating the admission checklist for Ardenleigh to include pregnancy testing may prove beneficial. It is recommended that a re-audit is completed 6 months following checklist introduction.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.