Journal of clinical monitoring and computing
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J Clin Monit Comput · Oct 2017
A delayed functional observer/predictor with bounded-error for depth of hypnosis monitoring.
With the motivation of providing safety for a patient under anesthesia, this paper suggests conditions for evaluating the correctness of an available user interface for systems under shared control based on observability and predictability requirements. Situation awareness is necessary for the user to make correct decisions about the inputs. In this article, we develop a technique to investigate the conditions under which an anesthetists can attain situation awareness about a limited but important aspect of anesthesia, namely depth of hypnosis (DOH). ⋯ Hence, attaining situation awareness about DOH is modeled as a bounded-error delayed functional observation/prediction. Unless such an observer/predictor exists for a system with a given user-interface, the safety of the operation may be compromised. The suggested technique proves that, in order to provide safety for the patient under anesthesia, it is necessary for the anesthetist to have access to the predictive information from a clinical decision support system.
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J Clin Monit Comput · Oct 2017
Case ReportsA brief clinical case of monitoring of oxygenator performance and patient-machine interdependency during prolonged veno-venous extracorporeal membrane oxygenation.
Monitoring veno-venous extracorporeal membrane oxygenation (vvECMO) during 76 days of continuous support in a 42-years old patient with end-stage pulmonary disease, listed for double-lung transplantation. Applying a new monitor (Landing®, Eurosets, Medolla, Italy) and describing how measured and calculated parameters can be used to understand the variable interdependency between artificial membrane lung (ML) and patient native lung (NL). During vvECMO, in order to understand how the respiratory function is shared between ML and NL, ideally we should obtain data about oxygen transfer and CO2 removal, both by ML and NL. ⋯ Real-time monitoring of vvECMO provides data helpful to understand the complex picture of a patient with severely damaged lungs on one side and an artificial lung on the other side. Data from vvECMO monitoring may help to adapt the settings of both mechanical ventilator and vvECMO. Data about oxygen transfer by the oxygenator are important to evaluate the performance of the device and may help to avoid unnecessary replacements, thus reducing risks and costs.
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J Clin Monit Comput · Oct 2017
Intraoperative TTE inferior vena cava monitoring in elderly orthopaedic patients with cardiac disease and spinal-induced hypotension.
Objective To address the role of transthoracic echocardiography in inferior vena cava (IVC) monitoring in the management of haemodynamically unstable elderly patients subjected to lower limb orthopaedic surgery under spinal anesthesia. Possible implications in the postoperative care unit (PACU) length of stay (LOS) are investigated. Methods 41 elderly patients with cardiac diseases were recruited. ⋯ The primary risk factor for a prolonged stay in PACU, as determined by multiple regression analysis was RAP. Conclusions Patients with high dynamic collapsibility of the IVC may require aggressive treatment to restore their haemodynamic status. Additionally, intraoperative levels of RAP, as measured by IVCCI, can act as a predictor for increased LOS in the PACU.
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J Clin Monit Comput · Oct 2017
Analysis and compensation for errors in electrical impedance tomography images and ventilation-related measures due to serial data collection.
Electrical impedance tomography (EIT) is increasingly being used as a bedside tool for monitoring regional lung ventilation. However, most clinical systems use serial data collection which, if uncorrected, results in image distortion, particularly at high breathing rates. The objective of this study was to determine the extent to which this affects derived parameters. ⋯ Values from the original and corrected data were compared using paired t-tests. Of the 33 data sets, 23 showed significant differences in filling index for at least one region, 11 had significant differences in calculated tidal impedance change and 12 had significantly different filling fractions (p = 0.05). We conclude that serial collection errors should be corrected before image reconstruction to avoid clinically misleading results.