Conectar
by Sally Caine, Mariam Alaverdashvili, Frederick Colbourne, Gillian D. Muir, Phyllis G. Paterson
Malnutrition after stroke may lessen the beneficial effects of rehabilitation on motor recovery through influences on both brain and skeletal muscle. Enriched rehabilitation (ER), a combination of environmental enrichment and forelimb reaching practice, is used preclinically to study recovery of skilled reaching after stroke. However, the chronic food restriction typically used to motivate engagement in reaching practice is a barrier to using ER to investigate interactions between nutritional status and rehabilitation. Thus, our objectives were to determine if a modified ER program comprised of environmental enrichment and skilled reaching practice motivated by a short fast would enhance post-stroke forelimb motor recovery and preserve forelimb muscle size and metabolic fiber type, relative to a group exposed to stroke without ER. At one week after photothrombotic cortical stroke, male, Sprague-Dawley rats were assigned to modified ER or standard care for 2 weeks. Forelimb recovery was assessed in the Montoya staircase and cylinder task before stroke and on days 5–6, 22–23, and 33–34 after stroke. ER failed to improve forelimb function in either task (p > 0.05). Atrophy of extensor digitorum communis (EDC) and triceps brachii long head (TBL) muscles was not evident in the stroke-targeted forelimb on day 35, but the area occupied by hybrid fibers was increased in the EDC muscle (p = 0.038). ER bilaterally increased EDC (p = 0.046), but not TBL, muscle size; EDC muscle fiber type was unchanged by ER. While the modified ER did not promote forelimb motor recovery, it does appear to have utility for studying the role of skeletal muscle plasticity in post-stroke recovery.To identify, synthesise and map systematic reviews of the effectiveness of nursing interventions undertaken in a neonatal intensive care unit or special care nursery.
This scoping review was conducted according to the JBI scoping review framework.
Review included systematic reviews that evaluated any nurse-initiated interventions that were undertaken in an NICU or SCN setting. Studies that reported one or more positive outcomes related to the nursing interventions were only considered for this review. Each outcome for nursing interventions was rated a ‘certainty (quality) of evidence’ according to the Grading of Recommendations, Assessment, Development and Evaluations criteria.
Systematic reviews were sourced from the Cochrane Database of Systematic Reviews and Joanna Briggs Institute Evidence Synthesis for reviews published until February 2023.
A total of 428 articles were identified; following screening, 81 reviews underwent full-text screening, and 34 articles met the inclusion criteria and were included in this review. Multiple nursing interventions reporting positive outcomes were identified and were grouped into seven categories. Respiratory 7/34 (20%) and Nutrition 8/34 (23%) outcomes were the most reported categories. Developmental care was the next most reported category 5/34 (15%) followed by Thermoregulation, 5/34 (15%) Jaundice 4/34 (12%), Pain 4/34 (12%) and Infection 1/34 (3%).
This review has identified nursing interventions that have a direct positive impact on neonatal outcomes. However, further applied research is needed to transfer this empirical knowledge into clinical practice.
Implementing up-to-date evidence on effective nursing interventions has the potential to significantly improving neonatal outcomes.
No patient or public involvement in this scoping review.
by Marie Moinet, Lynn Rogers, Patrick Biggs, Jonathan Marshall, Richard Muirhead, Megan Devane, Rebecca Stott, Adrian Cookson
Escherichia coli are routine indicators of fecal contamination in water quality assessments. Contrary to livestock and human activities, brushtail possums (Trichosurus vulpecula), common invasive marsupials in Aotearoa/New Zealand, have not been thoroughly studied as a source of fecal contamination in freshwater. To investigate their potential role, Escherichia spp. isolates (n = 420) were recovered from possum gut contents and feces and were compared to those from water, soil, sediment, and periphyton samples, and from birds and other introduced mammals collected within the Mākirikiri Reserve, Dannevirke. Isolates were characterized using E. coli-specific real-time PCR targeting the uidA gene, Sanger sequencing of a partial gnd PCR product to generate a gnd sequence type (gST), and for 101 isolates, whole genome sequencing. Escherichia populations from 106 animal and environmental sample enrichments were analyzed using gnd metabarcoding. The alpha diversity of Escherichia gSTs was significantly lower in possums and animals compared with aquatic environmental samples, and some gSTs were shared between sample types, e.g., gST535 (in 85% of samples) and gST258 (71%). Forty percent of isolates gnd-typed and 75% of reads obtained by metabarcoding had gSTs shared between possums, other animals, and the environment. Core-genome single nucleotide polymorphism (SNP) analysis showed limited variation between several animal and environmental isolates (Escherichia clones are shared between possums, other wildlife, water, and the wider environment. These findings support the potential role of possums as contributors to fecal contamination in Aotearoa/New Zealand freshwater. Our study deepens the current knowledge of Escherichia populations in under-sampled wildlife. It presents a successful application of high-resolution genomic methods for fecal source tracking, thereby broadening the analytical toolbox available to water quality managers. Phylogenetic analysis of isolates and profiling of Escherichia populations provided useful information on the source(s) of fecal contamination and suggest that comprehensive invasive species management strategies may assist in restoring not only ecosystem health but also water health where microbial water quality is compromised.To develop a nurse-led model of analgesia to manage post-operative pain in the surgical neonate.
A four-round e-Delphi study was conducted from March to December 2022.
An e-Delphi method was used seeking a consensus of 70% or greater. Fifty-one experts were invited to join the panel. Members consisted of multi-disciplinary healthcare professionals who work in areas associated with neonatal care. In round 1, 49 statements relative to neonatal pain assessment and management were distributed to the panel. Panel members were asked to rate their level of agreeance on a Likert scale from 1 to 5 (1 = strongly disagree to 5 = strongly agree). Ratings equal to or greater than 4 represented agreement, 3 indicated uncertainty and 2 or less disagreement with the proposed statement. An opportunity for free-text responses after each statement was provided. This iterative process continued for three rounds. In the fourth and final round, the completed model of neonatal nurse-controlled analgesia was presented along with a further opportunity to provide feedback on the final version.
Four rounds of statements and voting were required to reach consensus on a model of neonatal nurse-controlled analgesia. The model consists of criteria for use, over-arching guidelines and three separate pathways based on an individual baby's pain assessment scores, need for pain relieving interventions and time-lapsed post-surgical procedure.
A comprehensive model of neonatal nurse-controlled analgesia, applicable to the Australasian context, was developed in collaboration with a group of neonatal experts.
This study provides a multi-modal family-integrated model to manage neonatal post-operative pain. By providing nurses with increased autonomy to assess and manage acute pain, this model has the potential to not only provide a more responsive and individualized approach to alleviate discomfort, but highlights the integral role of parent partnerships in the neonatal intensive care.
This study was reported in line with the Conducting and REporting of DElphi studies (CREDE) guidance on Delphi studies.
No patient or public contribution was utilized for this study.
FreshRSS 