Relevant bibliographies by topics / Critical care monitoring

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Critical care monitoring'

Author: Grafiati
Published: 4 June 2021
Last updated: 15 February 2022

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Journal articles on the topic "Critical care monitoring"

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Lichtenberger, Marla, and Jeff Ko. "Critical Care Monitoring." Veterinary Clinics of North America: Exotic Animal Practice 10, no. 2 (May 2007): 317–44. http://dx.doi.org/10.1016/j.cvex.2007.01.004.

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Heard, Darryl J. "Critical Care Monitoring." Veterinary Clinics of North America: Exotic Animal Practice 1, no. 1 (September 1998): 1–10. http://dx.doi.org/10.1016/s1094-9194(17)30152-4.

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Schnuth, Rae. "Critical Care Monitoring." Critical Care Nursing Quarterly 18, no. 1 (May 1995): 88. http://dx.doi.org/10.1097/00002727-199505000-00011.

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Rolfe, Peter. "Neonatal critical care monitoring." Journal of Medical Engineering & Technology 10, no. 3 (January 1986): 115–20. http://dx.doi.org/10.3109/03091908609022897.

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Rubinos, Clio, Ayham Alkhachroum, Caroline Der-Nigoghossian, and Jan Claassen. "Electroencephalogram Monitoring in Critical Care." Seminars in Neurology 40, no. 06 (November 11, 2020): 675–80. http://dx.doi.org/10.1055/s-0040-1719073.

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AbstractSeizures are common in critically ill patients. Electroencephalogram (EEG) is a tool that enables clinicians to provide continuous brain monitoring and to guide treatment decisions—brain telemetry. EEG monitoring has particular utility in the intensive care unit as most seizures in this setting are nonconvulsive. Despite the increased use of EEG monitoring in the critical care unit, it remains underutilized. In this review, we summarize the utility of EEG and different EEG modalities to monitor patients in the critical care setting.
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Ahrens, Tom. "Respiratory Monitoring in Critical Care." AACN Advanced Critical Care 4, no. 1 (February 1, 1993): 56–65. http://dx.doi.org/10.4037/15597768-1993-1006.

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The assessment of pulmonary function, from a clinical perspective, can be performed accurately only if the clinician understands the concept ventilation/perfusion ratios of the lung. The major categories of ventilation/perfusion ratios are intrapulmonary shunting and physiologic deadspace. Virtually all pulmonary assessments and interventions arc aimed to address Qs/Qt or Vd/Vt. This chapter provides background information useful to the clinician in the assessment of intrapulmonary shunting and deadspace analysis. From this information, more thorough assessments of pulmonary function are possible
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Macready, N., and A. Evans. "Flexible monitoring: mobilizing critical care." American Journal of Critical Care 6, no. 4 (July 1, 1997): 3–15. http://dx.doi.org/10.4037/ajcc1997.6.4.3.

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AHRENS, TOM. "Respiratory Monitoring in Critical Care." AACN Clinical Issues: Advanced Practice in Acute and Critical Care 4, no. 1 (February 1993): 56–65. http://dx.doi.org/10.1097/00044067-199302000-00006.

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Barie, Philip S. "Advances in Critical Care Monitoring." Archives of Surgery 132, no. 7 (July 1, 1997): 734. http://dx.doi.org/10.1001/archsurg.1997.01430310048008.

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Karakitsos, Dimitrios, Mahmoud El Barbary, Lawrence Marshall Gillman, Apostolos Papalois, and Ariel Shiloh. "Critical Care and Perioperative Monitoring." Scientific World Journal 2014 (2014): 1–3. http://dx.doi.org/10.1155/2014/737628.

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Dissertations / Theses on the topic "Critical care monitoring"

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Currey, Judy A., and mikewood@deakin edu au. "Critical care nurses' haemodynamic decision making." Deakin University. School of Nursing, 2003. http://tux.lib.deakin.edu.au./adt-VDU/public/adt-VDU20050728.094123.

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For cardiac surgical patients, the immediate 2-hour recovery period is distinguished by potentially life-threatening haemodynamic instability. To ensure optimum patient outcomes, nurses of varying levels of experience must make rapid and accurate decisions in response to episodes of haemodynamic instability. Decision complexity, nurses’ characteristics, and environmental characteristics, have each been found to influence nurses' decision making in some form. However, the effect of the interplay between these influences on decision outcomes has not been investigated. The aim of the research reported in this thesis was to explore variability in critical care nurses' haemodynamic decision making as a function of interplay between haemodynamic decision complexity, nurses' experience, and specific environmental characteristics by applying a naturalistic decision making design. Thirty-eight nurses were observed recovering patients in the immediate 2-hour period after cardiac surgery. A follow-up semi-structured interview was conducted. A naturalistic decision making approach was used. An organising framework for the goals of therapy related to maintaining haemodynamic stability after cardiac surgery was developed to assist the observation and analysis of practice. The three goals of therapy were the optimisation of cardiovascular performance, the promotion of haemostasia, and the reestablishment of normothermia. The research was conducted in two phases. Phase One explored issues related to observation as method, and identified emergent themes. Phase Two incorporated findings of Phase 1, investigating the variability in nurses' haemodynamic decision making in relation to the three goals of therapy. The findings showed that patients had a high acuity after cardiac surgery and suffered numerous episodes of haemodynamic instability during the immediate 2-hour recovery period. The quality of nurses' decision making in relation to the three goals of therapy was influenced by the experience of the nurse and social interactions with colleagues. Experienced nurses demonstrated decision making that reflected the ability to recognise subtle changes in haemodynamic cues, integrate complex combinations of cues, and respond rapidly to instability. The quality of inexperienced nurses' decision making varied according to the level and form of decision support as well as the complexity of the task. When assistance was provided by nursing colleagues during the reception and recovery of patients, the characteristics of team decision making were observed. Team decision making in this context was categorised as either integrated or non integrated. Team decision making influenced nurses' emotions and actions and decision making practices. Findings revealed nurses' experience affected interactions with other team members and their perceptions of assuming responsibility for complex patients. Interplay between decision complexity, nurses' experience, and the environment in which decisions were made influenced the quality of nurses' decision making and created an environment of team decision making, which, in turn, influenced nurses' emotional responses and practice outcomes. The observed variability in haemodynamic decision making has implications for nurse education, nursing practice, and system processes regarding patient allocation and clinical supervision.
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Parlikar, Tushar Anil 1978. "Modeling and monitoring of cardiovascular dynamics for patients in critical care." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/40859.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Includes bibliographical references (p. 231-239).
In modern intensive care units (ICUs) a vast and varied amount of physiological data is measured and collected, with the intent of providing clinicians with detailed information about the physiological state of each patient. The data include measurements from the bedside monitors of heavily instrumented patients, imaging studies, laboratory test results, and clinical observations. The clinician's task of integrating and interpreting the data, however, is complicated by the sheer volume of information and the challenges of organizing it appropriately. This task is made even more difficult by ICU patients' frequently-changing physiological state. Although the extensive clinical information collected in ICUs presents a challenge, it also opens up several opportunities. In particular, we believe that physiologically-based computational models and model-based estimation methods can be harnessed to better understand and track patient state. These methods would integrate a patient's hemodynamic data streams by analyzing and interpreting the available information, and presenting resultant pathophysiological hypotheses to the clinical staff in an effcient manner. In this thesis, such a possibility is developed in the context of cardiovascular dynamics. The central results of this thesis concern averaged models of cardiovascular dynamics and a novel estimation method for continuously tracking cardiac output and total peripheral resistance. This method exploits both intra-beat and inter-beat dynamics of arterial blood pressure, and incorporates a parametrized model of arterial compliance. We validated our method with animal data from laboratory experiments and ICU patient data.
(cont.) The resulting root-mean-square-normalized errors -- at most 15% depending on the data set -- are quite low and clinically acceptable. In addition, we describe a novel estimation scheme for continuously monitoring left ventricular ejection fraction and left ventricular end-diastolic volume. We validated this method on an animal data set. Again, the resulting root-mean-square-normalized errors were quite low -- at most 13%. By continuously monitoring cardiac output, total peripheral resistance, left ventricular ejection fraction, left ventricular end-diastolic volume, and arterial blood pressure, one has the basis for distinguishing between cardiogenic, hypovolemic, and septic shock. We hope that the results in this thesis will contribute to the development of a next-generation patient monitoring system.
by Tushar Anil Parlikar.
Ph.D.
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Revie, James Alexander Michael. "Model-based cardiovascular monitoring in critical care for improved diagnosis of cardiac dysfunction." Thesis, University of Canterbury. Mechanical Engineering, 2013. http://hdl.handle.net/10092/7876.

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Cardiovascular disease is a large problem in the intensive care unit (ICU) due to its high prevalence in modern society. In the ICU, intensive monitoring is required to help diagnose cardiac and circulatory dysfunction. However, complex interactions between the patient, disease, and treatment can hide the underlying disorder. As a result, clinical staff must often rely on their skill, intuition, and experience to choose therapy, increasing variability in care and patient outcome. To simplify this clinical scenario, model-based methods have been created to track subject-specific disease and treatment dependent changes in patient condition, using only clinically available measurements. The approach has been tested in two pig studies on acute pulmonary embolism and septic shock and in a human study on surgical recovery from mitral valve replacement. The model-based method was able to track known pathophysiological changes in the subjects and identified key determinants of cardiovascular health such as cardiac preload, afterload, and contractility. These metrics, which can be otherwise difficult to determine clinically, can be used to help provide targets for goal-directed therapies to help provide deliver the optimal level of therapy to the patient. Hence, this model-based approach provides a feasible and potentially practical means of improving patient care in the ICU.
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Antcliffe, David. "Metabolic signatures of pneumonia in critical care : a paradigm shift in diagnosis and therapeutic monitoring." Thesis, Imperial College London, 2015. http://hdl.handle.net/10044/1/31522.

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Pneumonia and ventilator associated pneumonia (VAP) are a frequent cause for admission to Intensive Care and complication of ventilation respectively. VAP occurs in 10-40% of patients requiring mechanical ventilation and is associated with increased mortality, morbidity and healthcare costs. Diagnosis can be difficult due to poor predictive value of clinical features and low specificity of radiological changes. Bronchoscopic techniques are often invasive, may not be suitable for all patients and are not without complications. New tests are required to improve the diagnosis of these conditions allowing early, appropriate antibiotic treatment. In this study several techniques were used to explore the value of profiling of a range of biofluids obtained from ventilated patients as an aid to diagnosis of pneumonia. Patients were recruited from Intensive Care with either a diagnosis of pneumonia or brain injury. Those with brain injuries were tracked to identify patients who developed VAP. Serum, urine and exhaled breath condensate (EBC) were collected from all patients. Metabonomics, an approach that identifies changes in metabolic profiles associated with disease, was applied using proton nuclear magnetic resonance spectroscopy to both blood and urine and with mass spectrometry (MS) to exhaled breath condensate. Following from the metabonomic work a panel of inflammatory mediators, including cytokines and eicosanoids were measured in serum using MS and flow cytometry to explore the inflammatory changes in these patients. Overall metabolic and inflammatory profiling of serum showed potential as an adjunct to clinical diagnosis especially when combined with clinical data. Analysis of urine and EBC proved more challenging due the number of drug metabolites and low concentration of metabolites they respectively contained. In summary this study has added to the field by demonstrating the potential for profiling techniques of serum from critically ill patients to assist in the diagnosis of both pneumonia and VAP.
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Ward, Roxanne E. "Examining Methods and Practices of Source Data Verification in Canadian Critical Care Randomized Controlled Trials." Thèse, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/23974.

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Statement of the Problem: Source data verification (SDV) is the process of comparing data collected at the source to data recorded on a Case Report Form, either paper or electronic (1) to ensure that the data are complete, accurate and verifiable. Good Clinical Practice (GCP) Guidelines are vague and lack evidence as to the degree of SDV and whether or not SDV affects study outcomes. Methods of Investigation: We performed systematic reviews to establish the published evidence-base for methods of SDV and to examine the effect of SDV on study outcomes. We then conducted a national survey of Canadian Critical Care investigators and research coordinators regarding their attitudes and beliefs regarding SDV. We followed by an audit of the completed and in-progress Randomized Controlled Trials (RCTs) of the Canadian Critical Care Trials Group (CCCTG). Results: Systematic Review of Methods of SDV: The most common reported or recommended frequency of source data verification (10/14 - 71%) was either based on level or risk, or that it be conducted early (i.e. after 1st patient enrolled). The amount of SDV recommended or reported, varied from 5-100%. Systematic Review of Impact of SDV on Study Outcomes: There was no difference in study outcomes for 1 trial and unable to assess in the other. National Survey of Critical Care Investigators and Research Coordinators: Data from the survey found that 95.8% (115/120) of respondents believed that SDV was an important part of Quality Assurance; 73.3% (88/120) felt that academic studies should do more SDV; and 62.5% (75/120) felt that there is insufficient funding available for SDV. Audit of Source Data Verification Practices in CCCTG RCTs: In the national audit of in-progress and completed CCCTG RCTs, 9/15 (60%) included a plan for SDV and 8/15 (53%) actually conducted SDV. Of the 9 completed published trials, 44% (4/9) conducted SDV. Conclusion: There is little evidence base for methods and effect of SDV on study outcomes. Based on the results of the systematic review, survey, and audit, more research is needed to support the evidence base for the methods and effect of SDV on study outcomes.
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Black, C. J. "The feasibility of monitoring exercise intensity in mechanically ventilated patients recovering from critical illness in Intensive Care." Thesis, University College London (University of London), 2016. http://discovery.ucl.ac.uk/1476989/.

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Critical illness survivorship is frequently characterised by profound long-term physical and psychological disabilities. These arise as a result of the complex interaction between the patho-physiological e ects of critical illness, clinical interventions and the impact of prolonged bed rest on physical and psychological health. Early rehabilitation in the ICU is an important intervention that can overcome some of the devastating impacts of critical illness on patients and their carers. However, with little or no scienti c basis for its prescription and no validated means of assessing individual patient workload during rehabilitation, a \one-size- ts-all" approach is generally adopted. In contrast, the eld of sports science has an extensive literature base describing the optimisation of individual training programs. This thesis explores the potential translation of key precepts of exercise physiology into the ICU setting in order to quantify the workload during rehabilitation in mechanically ventilated (MV) patients recovering from critical illness. Breath-by-breath-gas-exchange-analysis (BBGEA) is the gold standard for measuring exercise capacity and intensity in non-ventilated individuals. However, validated devices in MV patients are lacking. In this thesis the MedGraphics Ultima, a BBGEA device, was validated in the critical care setting, within the limits of two reference techniques; Douglas bag collection and Deltatrac II. The feasibility of using BBGEA in patients rehabilitating in the ICU and the oxygen cost of this rehabilitation were then investigated. I established that, while this device is an invaluable research tool, it is impractical for day-to-day clinical practice. I further identi ed that the oxygen cost of rehabilitation activities in the ICU is not directly activity-dependent. I then developed two models to generate proxy values of oxygen consumption, during rehabilitation interventions, evaluating their performance with a small validation sample. The huge variations in the exercise load of rehabilitation interventions between and within patients highlights the need to establish personalised exercise regimens.
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Emeka-Nweze, Chika Cornelia. "ICU_POC: AN EMR-BASED POINT OF CARE SYSTEM DESIGN FOR THE INTENSIVE CARE UNIT." Case Western Reserve University School of Graduate Studies / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=case1499255523449397.

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Scheepers, Pamela Anne. "A comparison of the potentiation by desflurane of the effects of rocoronium and cisatracurium." Thesis, Stellenbosch : Stellenbosch University, 2013. http://hdl.handle.net/10019.1/85643.

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Thesis (MMed)-- Stellenbosch University, 2013.
ENGLISH ABSTRACT: Introduction: Of the volatile anaesthetic agents, desflurane causes the greatest degree of potentiation of the neuromuscular blocking drugs (NMB). The purpose of this study was to determine whether desflurane prolongs the effects of 3xED95 doses of rocuronium and cisatracurium to the same degree. The two NMB represent potent and less potent classes respectively. Methods: Informed, written consent was obtained from 63 adult patients scheduled for routine surgery. They were randomly allocated to one of four groups to receive either desflurane-sufentanil (end-tidal partial pressure 4.0 kPa) or propofol-sufentanil anaesthesia and either rocuronium (0.9mg/kg) or cisatracurium (0.15mg/kg). All patients received a target-controlled sufentanil infusion (0.5 ng/ml). Neuromuscular blockade was recorded using accelerometry (TOFGUARD ®, Organon) while patients recovered spontaneously to a Train-of-Four ratio of 0.9 (TOFR0.9). Data were analysed using one- and two-way analysis of variance. The main effects were the types of anaesthetic and NMB on indices of recovery. Results: Compared with propofol-sufentanil anaesthesia, mean times to recovery to T125% and TOFR0.9, were prolonged by desflurane-sufentanil (p<0.01). There were no interactions. Mean prolongation of time to TOFR0.9 was 41 min (SD 36) for cisatracurium and 26.6 min (SD 39) for rocuronium. Discussion: Whereas previous studies did not reveal prolongation of the duration of action of rocuronium by desflurane, we demonstrated a statistically significant prolongation of the spontaneous recovery times of both rocuronium and cisatracurium by desflurane. From the data we could not conclude that there was a difference between the two NMB. A power study revealed that in order to detect a difference between times to recovery to TOF0.9, a sample size of 101 subjects per group would be required. Conclusion: Desflurane prolongs the mean time to spontaneous recovery from neuromuscular blockade after 3xED95 doses of both cisatracurium (a potent NMB) and rocuronium (a less potent NMB). There was wide inter-individual variation in times to spontaneous recovery. Any difference in the mean prolongations between the different types of NMB is unlikely to be of clinical importance.
AFRIKAANSE OPSOMMING: Inleiding Van al die vlugtige narkosemiddels veroorsaak desfluraan die grootste mate van potensiasie van die neuromuskulêre blokkeermiddels. Die doel van hierdie studie was om vas te stel of desfluraan wel die effek van driedubbel die ED95 dosis van rokuronium en cisatrakurium tot dieselfde mate sal verleng. Metodiek Geskrewe ingeligte toestemming is verkry van 63 pasiënte wat voorgedoen het vir roetiene chirurgiese prosedures. Pasiënte is lukraak in een van vier groepe ingedeel om of desfluraansufentaniel (eind-gety parsieële druk 4.0 kPa) of propofol-sufentaniel narkose en of rokuronium (0.9 mg/kg) of cisatrakurium (0.15 mg/kg) te ontvang. Alle pasiënte het 'n teiken-beheerde sufentaniel infusie (0.5 ng/ml). Neuromuskulêre blokkade is waargeneem met behulp van aksellerometrie (TOF-GUARD, Organon) terwyl pasiënte spontaan herstel het tot “reeks-van-vier” verhouding (Engels “Train-of-four” ratio) 0.9 (TOFR0.9). Data analise is gedoen met behulp van een- en tweerigting analise van variansie. Resultate Desfluraan-sufentaniel het die gemiddelde hersteltyd tot T125% en TOFR0.9 verleng in vergelyking met propofol-sufentaniel. Geen interaksies is waargeneem nie. Gemiddelde verlenging van TOFR0.9 vir cisatrakurium was 41 minute (standaardafwyking 36) en vir rokuronium 26.6 minute (standaardafwyking 39). Bespreking Vorige studies kon nie vasstel of desfluraan die werkingsduur van rokuronium verleng nie. Ons het in hierdie studie vasgestel dat desfluraan wel 'n statisties beduidende verlenging in die hersteltyd van beide rokuronium en cisatrakurium veroorsaak. Ons kon egter nie 'n verskil tussen die twee neuromuskulêre agente aandui nie. 'n onderskeidingsvermoëstudie het getoon dat ten minste 101 pasiënte per groep benodig sou word om 'n beduidende verskil tussen die hersteltye tot TOFR0.9 te verkry. Gevolgtrekking Desfluraan verleng die gemiddelde hersteltyd tot spontane herstel van neuromuskulêre blokkade na driedubbele ED95 dosisse van beide cisatrakurium en rokuronium. Daar was egter groot interindividuele variasie ten opsigte van spontane hersteltyd. Enige verskille in die gemiddelde verlenging is onwaarskynlik van kliniese belang.
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Dolo, Lucy Mashishi. "Investigating the effect of an intervention on tracheal cuff pressure monitoring in the critical care environment of an academic hospital in Gauteng." Diss., University of Pretoria, 2015. http://hdl.handle.net/2263/53055.

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Tracheal cuff pressure monitoring plays a significant role in the care of patients in the critical care environment. Most patients in critical care environment are intubated with cuffed tubes via the ore or the naso-tracheal route, or a tracheostomy is performed. The purpose of the tracheal cuff is to maintain a seal between the tube and the tracheal wall, to prevent volume loss and ensure effective mechanical ventilation. Nurse practitioners in the critical care environment play a vital role in monitoring tracheal cuff pressure, which is often neglected in clinical practice. Purpose: To investigate the effect of an intervention on tracheal cuff pressure monitoring in the critical care environment of an academic hospital in Gauteng. Design and methods: A quantitative prospective non-experimental comparative design, with a collaborative qualitative method. The study had a pre and post intervention phase to compare the effect on an intervention. Findings: The study findings during the pre-intervention phase revealed inconsistency in the monitoring, night time monitoring poor and the found and the adjusted pressure documentation poor. Most pressures found to be non-compliant and serious non-compliant. The post-intervention results revealed an improvement in the night monitoring, but pressures were still found to be high. The consistency in the frequency of monitoring remains poor. Recording of the found and adjusted pressure had a small improvement. Conclusion: Inconsistent cuff pressure monitoring is done in the critical care environment. Comparing the continuous pressure monitoring, it shows that the frequency of monitoring need to be re-looked. Continuous in-service training may have an effect on the practice and the use of reminders can have an impact in the practice. Frequent clinical audits need to be conducted in order to evaluate practice and have plans for improvement. Clinical relevance: If the practice of tracheal cuff pressure monitoring can be done according to the revised guidelines, there might be an improved outcome of patients in the critical care environment and reduced costs.
Dissertation (MCur)--University of Pretoria, 2015.
Nursing Science
MCur
Unrestricted
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Oliveira, Marcos Antonio de. "Análise contínua de medidas de cateter de artéria pulmonar volumétrico, ecotransesofágico, variações da pressão arterial sistêmica e marcadores de hipoperfusão tissular no choque hemorrágico em suínos." Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/5/5152/tde-05032010-142149/.

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INTRODUÇÃO: Diferentes parâmetros hemodinâmicos, incluindo os indicadores estáticos de pré-carga cardíaca como o índice de volume diastólico final ventrículo direito (IVDFVD) e parâmetros dinâmicos como a variação de pressão de pulso (VPP) têm sido usados na tomada de decisão para considerar o processo da expansão volêmica em pacientes em estado grave. O objetivo deste estudo foi comparar a reanimação por fluidos guiados tanto por VPP ou IVDFVD após choque hemorrágico induzido experimentalmente. MÉTODO: vinte e seis suínos anestesiados e ventilados mecanicamente foram alocados em três grupos: controle (Grupo I), VPP (Grupo II) e IVDFVD (Grupo III). Foi induzido choque hemorrágico por retirada de sangue até atingir a pressão arterial média de 40mmhg, que foi mantida por 60 minutos. Parâmetros foram medidos no tempo basal (B), no tempo do choque (Choque 0), sessenta minutos depois do choque (Choque 60), imediatamente depois da ressuscitação com hidroxietilamido 6% (130/0. 4) (R0), uma hora (R60) e duas horas (R120) depois ressuscitação. Os pontos de avaliação da reanimação por fluidos foram determinados pelo retorno aos valores basais iniciais de VPP e IVDFVD. A análise estatística dos dados foi baseada em ANOVA para medidas repetidas seguidos pelo teste de Bonferroni (P<0.05%). RESULTADOS: O volume e tempo para ressuscitação foram maiores no grupo III do que no grupo II (Grupo III = 1305±331ml e Grupo II = 965±245ml; p<0.05 e Grupo III = 24.8± 4.7min e Grupo II = 8.8 ± 1.3 min, p<0.01, respectivamente). Todos os parâmetros estáticos e dinâmicos, bem como os biomarcadores de oxigenação tecidual foram afetados pelo choque hemorrágico e quase todos os parâmetros foram totalmente restaurados após a reanimação em ambos os grupos. CONCLUSÃO: Neste estudo em modelo de choque hemorrágico, a reanimação guiada pelo VPP utilizou menor quantidade de fluido e menor quantidade de tempo do que quando guiado por IVDFVD derivado de cateter de artéria pulmonar.
INTRODUCTION: Different hemodynamic parameters, including static indicators of cardiac preload as right ventricular end-diastolic volume index (RVEDVI) and dynamic parameters as pulse pressure variation (PPV) have been used in the decision-making process regarding volume expansion in critically ill patients. The objective of this study was to compare fluid resuscitation guided by either PPV or RVEDVI after experimentally-induced hemorrhagic shock. METHODS: 26 anesthetized and mechanically ventilated pigs were allocated into control (Group-I), PPV (Group-II) and RVEDVI (Group- III). Hemorrhagic shock was induced by blood withdrawal to target mean arterial pressure of 40mmHg, maintained for 60 minutes. Parameters were measured at baseline, time of shock, sixty minutes after shock, immediately after resuscitation with hydroxyethyl starch 6% (130/0.4), one hour and two hours thereafter. The endpoint of fluid resuscitation was determined as the baseline values of PPV and RVEDVI. Statistical analysis of data was based on ANOVA for repeated measures followed by the Bonferroni test (P<0.05). RESULTS: Volume and time to resuscitation were higher in Group-III than in Group-II (Group-III = 1305±331ml and Group-II = 965±245ml; p<0.05 and Group-IIII = 24.8±4.7min and Group-II = 8.8±1.3 min, p<0.05, respectively). All static and dynamic parameters and biomarkers of tissue oxygenation were affected by hemorrhagic shock and nearly all parameters were restored after resuscitation in both groups. CONCLUSION: In the proposed model of hemorrhagic shock, resuscitation to the established endpoints was achieved within a smaller amount of time and with less volume when guided by PPV than when guided by pulmonary artery catheter-derived RVEDVI.
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Books on the topic "Critical care monitoring"

1

Bustin, Debra. Hemodynamic monitoring for critical care. Norwalk, Conn: Appleton-Century-Crofts, 1986.

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H, Bartlett Robert, ed. Critical care physiology. Boston: Little, Brown, 1996.

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Owen, Anna. Pocket guide to critical care monitoring. St. Louis: Mosby-Year Book, 1992.

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Pocket guide to critical care monitoring. 2nd ed. St. Louis, Mo: Mosby, 1996.

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Pocket guide to critical care monitoring. St. Louis: Mosby Year Book, 1992.

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Neurocritical care monitoring. New York: DEMOS Medical, 2015.

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Corporation, InteLab. U.S. critical care testing and monitoring markets. Mission Viejo, CA: InteLab Corp., 2002.

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Beverley, Ewens, ed. Monitoring the critically ill patient. 3rd ed. Chichester, West Sussex: Wiley-Blackwell, 2012.

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Lewis, Frank R. Practical Applications of Fiberoptics in Critical Care Monitoring. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990.

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Lewis, Frank R., and Ulrich J. Pfeiffer, eds. Practical Applications of Fiberoptics in Critical Care Monitoring. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-75086-1.

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Book chapters on the topic "Critical care monitoring"

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Dancour, Elie, Amy C. Jongeling, and Jan Claassen. "Critical Care Considerations." In Continuous EEG Monitoring, 417–43. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-31230-9_24.

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Lizano, Danny, and Rani Nasser. "Intracranial Pressure Monitoring." In Interventional Critical Care, 203–12. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-25286-5_22.

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Cackovic, Michael, and Michael A. Belfort. "Non-Invasive Monitoring." In Critical Care Obstetrics, 207–14. Oxford, UK: Wiley-Blackwell, 2011. http://dx.doi.org/10.1002/9781444316780.ch15.

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Dalessio, Linda M. "Monitoring for overdoses." In Critical Care Nursing, 210–63. Hoboken, NJ: John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781118992845.ch13.

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Martin, Ubaldo J., Montserrat Diaz-Abad, and Samuel L. Krachman. "Hemodynamic Monitoring." In Critical Care Study Guide, 51–78. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-0-387-77452-7_4.

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Stassen, Nicole A. "Hemodynamic Monitoring." In Surgical Critical Care Therapy, 99–106. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71712-8_11.

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Martin, Ubaldo J., and Samuel Krachman. "Hemodynamic Monitoring." In Critical Care Study Guide, 44–69. New York, NY: Springer New York, 2002. http://dx.doi.org/10.1007/978-1-4757-3927-5_4.

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Wheeler, Derek S., and Peter C. Rimensberger. "Respiratory Monitoring." In Pediatric Critical Care Medicine, 521–42. London: Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-6362-6_39.

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Tibby, Shane M. "Hemodynamic Monitoring." In Pediatric Critical Care Medicine, 543–67. London: Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-6362-6_40.

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Johnson, Alexander P., and Jennifer Abraham. "Monitoring for respiratory dysfunction." In Critical Care Nursing, 35–56. Hoboken, NJ: John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781118992845.ch3.

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Conference papers on the topic "Critical care monitoring"

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Morgan, S. P., F. Canfarotta, E. V. Piletska, F. Grillo, S. Korposh, L. Liu, F. U. Hernandez, et al. "Optical fiber sensors for monitoring in critical care." In 2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2019. http://dx.doi.org/10.1109/embc.2019.8856893.

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Teng, Chia-Chi, Brady Redfearn, Craig Nuttall, Sabrina Jarvis, James Carr, Jarin Jensen, Sandy Kanuch, Jordon Peterson, and David Taylor. "Mixed Reality Patients Monitoring Application for Critical Care Nurses." In the third International Conference. New York, New York, USA: ACM Press, 2019. http://dx.doi.org/10.1145/3340037.3340050.

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McKinley, B. A. "Medical care aboard NASA's space station: a systems approach to critical care monitoring." In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 1988. http://dx.doi.org/10.1109/iembs.1988.95020.

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B., Sudhakar, Nishanth Sampath, Senthil Kumar, Roopesh Kumar, Senthil kumar, Vijay Sankar, and Suresh Bapu. "Anaesthetic considerations for intraoperative neurophysiological monitoring in neurosurgical cases." In 17th Annual Conference of Indian Society of Neuroanaesthesiology and Critical Care. Thieme Medical and Scientific Publishers Private Ltd., 2016. http://dx.doi.org/10.1055/s-0038-1667554.

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Kothare, Pratima. "Anaesthesia modifications for intraoperative evoked potential monitoring: Series of 100 cases." In 17th Annual Conference of Indian Society of Neuroanaesthesiology and Critical Care. Thieme Medical and Scientific Publishers Private Ltd., 2016. http://dx.doi.org/10.1055/s-0038-1667585.

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Soller, Babs R., and Songbiao Zhang. "Optical measurement of tissue pH for surgical and critical care monitoring." In BiOS '98 International Biomedical Optics Symposium, edited by Gerald E. Cohn. SPIE, 1998. http://dx.doi.org/10.1117/12.307318.

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Naik, N., T. Samra, and S. Reddy. "Intraoperative neurophysiological monitoring in patients undergoing scoliosis surgery." In 18th Annual Conference of Indian Society of Neuroanaesthesiology and Critical Care (ISNACC 2017). Thieme Medical and Scientific Publishers Private Ltd., 2017. http://dx.doi.org/10.1055/s-0038-1646240.

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Gaur, Pallavi, Anita N. Shetty, and Nirav Kotak. "Anesthetic Challenges for Intraoperative Neurophysiological Monitoring under General Anesthesia." In 19th Annual Conference of the Indian Society of Neuroanaesthesiology and Critical Care (ISNACC). Thieme Medical and Scientific Publishers Private Limited, 2018. http://dx.doi.org/10.1055/s-0038-1636401.

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Santos, R. J., J. Bernardino, and J. Henriques. "The HTP tool: Monitoring, detecting and predicting hypotensive episodes in critical care." In IEEE EUROCON 2011 - International Conference on Computer as a Tool. IEEE, 2011. http://dx.doi.org/10.1109/eurocon.2011.5929313.

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Bharamagoudar, Prakash C., and Shivashankar Marajakke. "Surgical Removal of Peripheral Nerve Schwannoma with Intraoperative Neurophysiological Monitoring." In 19th Annual Conference of the Indian Society of Neuroanaesthesiology and Critical Care (ISNACC). Thieme Medical and Scientific Publishers Private Limited, 2018. http://dx.doi.org/10.1055/s-0038-1635579.

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