Dataset Information

[Robotic-assisted mobilization for an effective mobilization in a COVID-19 patient with ECMO treatment].

ABSTRACT: An effective (early) mobilization in COVID-19 intensive care patients with ECMO treatment is very important. Sedation, extracorporeal procedures with the danger of circuit malfunction, large lumen ECMO cannulas with a risk of dislocation and a very severe neuromuscular weakness are factors that could deem mobilization beyond stage 1 of the ICU mobility score (IMS) in some cases difficult or impossible; however, early mobilization is a key point of the ABCDEF bundle to counteract pulmonary complications, neuromuscular dysfunction and enable recovery. The case of a 53-year-old, previously healthy and active male patient with a severe and complicated course of COVID-19 and pronounced ICU-acquired weakness is described. While receiving ECMO the patient could be mobilized using a robotic system. Due to severe and rapidly progressing pulmonary fibrosis, additional low-dose methylprednisolone therapy (Meduri protocol) was implemented. Under this multimodal treatment the patient was successfully weaned from the ventilator and decannulated. Robotic-assisted mobilization has the potential to be a novel and safe therapeutic option for a customized and highly effective mobilization in ECMO patients.

SUBMITTER: Dieterich F

PROVIDER: S-EPMC9510451 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature

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Publications

[Robotic-assisted mobilization for an effective mobilization in a COVID-19 patient with ECMO treatment].

Dieterich F F Perras J J Popp W W Ahrens M M Wirth S S

Die Anaesthesiologie 20220923 12

An effective (early) mobilization in COVID-19 intensive care patients with ECMO treatment is very important. Sedation, extracorporeal procedures with the danger of circuit malfunction, large lumen ECMO cannulas with a risk of dislocation and a very severe neuromuscular weakness are factors that could deem mobilization beyond stage 1 of the ICU mobility score (IMS) in some cases difficult or impossible; however, early mobilization is a key point of the ABCDEF bundle to counteract pulmonary compli ...[more]

PMID: 36149467

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Project description:BackgroundImplementation of Robotic Assisted Surgery (RAS) is complex as it requires adjustments to associated physical infrastructure, but also changes to processes and behaviours. With the global objective of optimising and improving RAS implementation, this study aimed to: 1) Explore the barriers and enablers to RAS service adoption, incorporating an assessment of behavioural influences; 2) Provide an optimised plan for effective RAS implementation, with the incorporation of theory-informed implementation strategies that have been adapted to address the barriers/enablers that affect RAS service adoption.MethodsSemi-structured interviews were conducted with RAS personnel and stakeholders, including: surgeons, theatre staff, managers, industry representatives, and policy-makers/commissioners. The Theoretical Domains Framework (TDF) and the Consolidated Framework for Implementation Research (CFIR) was used to identify barriers and enablers that represent individual behaviours, capabilities, attitudes, beliefs, and external organisational factors that influence the implementation of RAS.ResultsFindings suggest that implementation planning has three separate phases-pre-, early, and late implementation. For pre-implementation, barriers and enablers identified included the cost of RAS equipment and issues of economic viability, weak outcome evidence for RAS, a preponderance of an eminence driven model, the clinician/manager relationship, and views around the uptake and expansion of RAS in the future. Early implementation findings revealed role changes for theatre personnel and an enhanced team approach, reliance on industry for training provision, and changes in skill sets and attentional processes. Late implementation factors included equipment maintenance costs, technological limitations, changes to cognition during RAS routine use, and benefits to institutions/healthcare professionals (such as ergonomic improvement).ConclusionTogether, findings suggest the factors that affect RAS implementation are multi-faceted and change across the life-cycle of intervention adoption. Theory-informed strategies are suggested which can optimise implementation of RAS. Optimisation strategies need planning from the outset.

Project description:Sacrocolpopexy has been dubbed the “gold standard” repair for apical pelvic organ prolapse (POP). This study sought to determine a genetic cause for sacrocolpopexy failure by comparing genotypes from 10 women who suffered from early POP reoccurance after sacrocolpopexy surgery, versus 40 randomly selected women with long term success after the same procedure. We objectively defined early overt failure after robotic-assisted laparoscopic sacrocolpopexy as having a pelvic organ prolapse quantification system examination (POP-Q) of stage III or IV occurring in more than one compartment within six months after surgery. All medical records identified during this process were then reviewed by a panel of urogynecology attendings and fellows to select patients who were truly clinical outliers. By this method we identified 10 patients (cases) who experienced early overt surgical failure. We also randomly selected 40 controls from our research database which includes greater than 500 patients who underwent robotic-assisted laparoscopic sacrocolpopexy during the same time period and had been objectively and subjectively assessed for ≥ 12 months with surgical success at ≥ 12 months that did not undergo prolapse re-operation or re-treatment. Demographics and peri-operative details were compared between cases and controls. Exclusion criteria for controls included use of other graft material besides polypropylene mesh, prior surgery for prolapse involving graft material, and conversion to laparotomy. DNA from the 10 cases and 40 controls was isolated from buccal swabs and genotyped on a single nucleotide polymorphism (SNP) array that contains 250,000 markers (NspI 250K SNP array, Affymetrix, Santa Clara, CA). All women in this study identified as Caucasian. All subjects provided written informed consent to study participation and data release. This was a case-control study approved by the Institutional Review Board at the Atlantic Health System in Morristown New Jersey (R11-10-004).

Dataset Information

[Robotic-assisted mobilization for an effective mobilization in a COVID-19 patient with ECMO treatment].

Publications

[Robotic-assisted mobilization for an effective mobilization in a COVID-19 patient with ECMO treatment].

Similar Datasets

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