314 research outputs found

    Intensive care units follow-up: A scoping review protocol

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    Introduction Increasing numbers of patients are surviving critical illness, leading to growing concern about the potential impact of the long-term consequences of intensive care on patients, families and society as a whole. These long-term effects are together known as postintensive care syndrome and their presence can be evaluated at intensive care unit (ICU) follow-up consultations. However, the services provided by these consultations vary across hospitals and units, in part because there is no validated standard model to evaluate patients and their quality of life after ICU discharge. We describe a protocol for a scoping review focusing on models of ICU follow-up and the impact of such strategies on improving patient quality of life. Methods and analysis In this scoping review, we will search the literature systematically using electronic databases (MEDLINE - from database inception to June 15th 2020) and a grey literature search. We will involve stakeholders as recommended by the Joanna Briggs Institute approach developed by Peters et al. The research will be conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews guidelines. Ethics and dissemination This study does not require ethics approval, because data will be obtained through a review of published primary studies. The results of our evaluation will be published in a peer-reviewed journal and will also be disseminated through presentations at national and international conferences

    Acute Kidney Injury After Subarachnoid Hemorrhage

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    Background: Acute kidney injury (AKI) is common in critically ill patients and may contribute to poor outcome. Few data are available on the incidence and impact of AKI in patients suffering from nontraumatic subarachnoid hemorrhage (SAH). Methods: We reviewed all patients admitted to our Department of Intensive Care with SAH over a 3-year period. Exclusion criteria were time from SAH symptoms to intensive care unit (ICU) admission >96 hours and ICU stay <48 hours. AKI was defined as sustained oligoanuria (urine output <0.5 mL/kg/h for 24 h) or an increase in plasma creatinine (≥0.3 mg/dL or a 1.5-fold increase from baseline level within 48 h). Neurological status was assessed at day 28 using the Glasgow Outcome Scale (GOS) (from 1=death to 5=good recovery; favorable outcome=GOS 4 to 5). Results: Of 243 patients admitted for SAH during the study period, 202 met the inclusion/exclusion criteria (median age 56 y, 78 male). Twenty-five patients (12%) developed AKI, a median of 8 (4 to 10) days after admission. Independent predictors of AKI were development of clinical vasospasm, and treatment with vancomycin. AKI was more frequent in ICU nonsurvivors than in survivors (11/50 vs. 14/152, P=0.03), and in patients with an unfavorable neurological outcome than in other patients (17/93 vs. 8/109, P=0.03). Nevertheless, in multivariable regression analysis, AKI was not an independent predictor of outcome. Conclusions: AKI occurred in >10% of patients after SAH. These patients had more severe neurological impairment and needed more aggressive ICU therapy; AKI did not significantly influence outcome. © 2016 Wolters Kluwer Health, Inc

    Role of brain tissue oxygenation (PbtO2) in the management of subarachnoid haemorrhage: a scoping review protocol

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    INTRODUCTION: In patients with subarachnoid haemorrhage (SAH), the initial brain oedema and increased blood volume can cause an increase in intracranial pressure (ICP) leading to impaired cerebral perfusion and tissue hypoxia. However, ICP monitoring may not be enough to detect tissue hypoxia, which can also occur in the absence of elevated ICP. Moreover, some patients will experience tissue hypoxia in a later phase after admission due to the occurrence of delayed cerebral ischaemia. Therefore, the measurement of brain oxygenation using invasive techniques has become of great interest. This scoping review seeks to examine the role of brain tissue oxygenation in the management of patients with SAH, mapping the existing literature to identify areas for future research. METHODS AND ANALYSIS: This scoping review has been planned following the Joanna Briggs Institute recommendations and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The literature search will be performed using several databases: Medline, EMBASE, the Cochrane Central Register of Controlled Trials and Grey literature. The database searches are planned from the inception to May 2020. Two reviewers will independently screen titles and abstracts, followed by full-text screening of potentially relevant articles with a standardised data extraction. Articles eligible for the inclusion will be discussed with a third reviewer. ETHICS AND DISSEMINATION: This paper does not require ethics approval. The results of our evaluation will be disseminated on author's web sites. Additional dissemination will occur through presentations at conferences, such as courses and science education conferences, regionally and nationally, and through articles published in peer-reviewed journals. SCOPING REVIEW REGISTRATION: Open Science Framework Registration: https://doi.org/10.17605/OSF.IO/ZYJ7R.Trial registration numberClinicalTrials.gov Identifier: NCT03754114

    Relationship between Microcirculatory Perfusion and Arterial Elastance: A Pilot Study

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    Background. Arterial elastance (Ea) represents the total afterload imposed on the left ventricle, and it is largely influenced by systemic vascular resistance (SVR). Although one can expect that Ea is influenced by peripheral endothelial function, no data are available to support it in patients. The aim of this study was to investigate the relationship between Ea, SVR, and microvascular perfusion in critically ill patients undergoing the fluid challenge (FC). Methods. A prospective study in patients receiving a fluid challenge. A pulse wave analysis system (MostCare, Vygon, France) was used to estimate Ea and an incident dark field (IDF) handheld device (Braedius Medical BV, The Netherlands) to evaluate the sublingual microcirculation. Microvascular perfusion was assessed using the proportion of small-perfused vessels (PPV). Relative changes in each variable were calculated before and after FC; fluid responsiveness was defined as an increase in the cardiac index by at least 10% from baseline. Results. We studied 20 patients requiring a fluid challenge (n=10 for hypotension; n=5 for oliguria; n=3 for lactate values greater than 2 mmol/l; n=2 for tachycardia), including 12 fluid responders. There was a strong correlation between Ea and SVR (r 2 = 0.75; p<0.001) and only a weak correlation between Ea and PPV at baseline (r 2 = 0.22; p=0.04). Ea decreased from 1.4 [1.2-1.6] to 1.2 [1.1-1.4] mmHg/mL (p=0.01), SVR from 1207 [1006-1373] to 1073 [997-1202] dyn s/cm 5 (p=0.06), and PPV from 56 [51-64] % to 59 [47-73] % (p=0.25) after fluid challenge. Changes in Ea were significantly correlated with changes in SVR, but not with changes in PPV. Conclusions. The correlation between Ea and indexes of microvascular perfusion in the sublingual region is weak. The impact of microcirculatory perfusion on the arterial load is probably limited. © 2019 Ottavia Bond et al

    Incoherence between systemic hemodynamic and microcirculatory response to fluid challenge in critically ill patients

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    Background: The aim of the study was to assess the coherence between systemic hemodynamic and microcirculatory response to a fluid challenge (FC) in critically ill patients. Methods: We prospectively collected data in patients requiring a FC whilst cardiac index (CI) and microcir-culation were monitored. The sublingual microcirculation was assessed using the incident dark field (IDF) CytoCam device (Braedius Medical, Huizen, The Netherlands). The proportion of small perfused vessels (PPV) was calculated. Fluid responders were defined by at least a 10% increase in CI during FC. Responders according to changes in microcirculation were defined by at least 10% increase in PPV at the end of FC. Cohen’s kappa coefficient was measured to assess the agreement to categorize patients as “responders” to FC according to CI and PPV. Results: A total of 41 FC were performed in 38 patients, after a median time of 1 (0–1) days after ICU admission. Most of the fluid challenges (39/41, 95%) were performed using crystalloids and the median total amount of fluid was 500 (500–500) mL. The main reasons for fluid challenge were oliguria (n = 22) and hypotension (n = 10). After FC, CI significantly increased in 24 (58%) cases; a total of 19 (46%) FCs resulted in an increase in PPV. Both CI and PPV increased in 13 responders and neither in 11; the coefficient of agreement was only 0.21. We found no correlation between absolute changes in CI and PPV after fluid challenge. Conclusions: The results of this heterogenous population of critically ill patients suggest incoherence in fluid responsiveness between systemic and microvascular hemodynamics; larger cohort prospective studies with adequate a priori sample size calculations are needed to confirm these findings
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