Clinical data and outcome data were gathered from paper-based or electronic medical records [Sillage (SIB, Rennes, France) and IntelliSpace Critical Care and Anesthesia (Philips Healthcare, Koninklijke Philips N.V., the Netherlands) for the Lille centers and Centricity Critical Care (formerly known as Clinisoft) software (GE Healthcare, Barrington, IL) for the Amiens center. Laboratory information was collected from devoted software applications [Molis® (CompuGroup Medical, Koblenz, Germany) in the Lille centers and Clinisoft (GE Healthcare, Barrington, IL) in the Amiens center]. We collected anthropometric data, a detailed medical history, the Simplified Acute Physiologic Score (SAPS II), the baseline arterial blood lactate level, and other laboratory variables. We also collected all relevant information concerning ECMO management, including the indication for ECMO support, the cannulation site, the duration of cannulation, the type of device, the ECMO flow, and the occurrence of any ECMO-related complications.
Clinisoft
Manufactured by GE Healthcare
Sourced in United States
Clinisoft is a software solution designed to streamline the management and documentation of patient data in healthcare settings. It provides a centralized platform for healthcare professionals to access and maintain patient records, including vital signs, medication administration, and other clinical information.
Automatically generated - may contain errors
Lab products found in correlation
9 protocols using clinisoft
1
ECMO Management and Outcomes
2
Glycemic Status in Critical Illness
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HbA1c was measured in whole blood at ICU admission using the VARIANT II TURBO Haemoglobin Testing System analyzer (Bio-Rad Laboratories) and was reported in mmol/mol (IFCC calibrated) and in %. HbA1c was measured as part of routine care in three ICUs and at the discretion of the treating clinician in seven ICUs. We collected information on demographics, comorbidity, chronic medication, HbA1c value, mortality and decision regarding limitation of life-sustaining care from the patients’ medical records (Take Care (CompuGroup Medical, Koblenz, Germany)). International Classification of Disease 10 codes were used to identify comorbidity and a history of diabetes. Additionally, data regarding known diabetes diagnosis were extracted manually from the patients’ medical records. Data on body mass index, Simplified Acute Physiology Score (SAPS) 3, ICU length of stay, duration of IMV and RRT were collected from the ICU electronic patient data management system CliniSoft (GE, Barrington, Illinois, USA).
3
Comprehensive Traumatic Brain Injury Database
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For this ongoing prospective TBI database, all patient demographics, injury and treatment information were either manually collected by a medical professional or automatically recorded using Clinisoft (Centricity Critical Care, CCC, General Electric Company, Boston). The drug infusion rates and physiological variables were recorded with Clinisoft, which included the timestamped pharmacological and physiological data. In this study, continuous infusions as well as bolus doses of the sedatives propofol, midazolam, morphine, fentanyl and alfentanil and the vasopressor agents dobutamine, noradrenaline, vasopressin, and ephedrine, and the physiological variables (ABP and ICP) were analyzed.
Arterial blood pressure (ABP) was obtained through either radial or femoral arterial lines connected to pressure transducers (Baxter Healthcare Corp. CardioVascular Group, Irvine, CA, or similar devices). ICP was acquired via an intra-parenchymal strain gauge probe (Codman ICP MicroSensor; Codman & Shurtleff Inc., Raynham, MA), raumedic catheter Neurovent-P (Raumedic AG, Münchberg, Germany), parenchymal fiber optic pressure sensor (Camino ICP Monitor, Integra Life Sciences, Plainsboro, NJ, United States;https://www.integralife.com/ ) or using external ventricular drains (Medtronic, Minneapolis, MN). Again, both ABP and ICP data were directly linked to a Clinisoft database.
Arterial blood pressure (ABP) was obtained through either radial or femoral arterial lines connected to pressure transducers (Baxter Healthcare Corp. CardioVascular Group, Irvine, CA, or similar devices). ICP was acquired via an intra-parenchymal strain gauge probe (Codman ICP MicroSensor; Codman & Shurtleff Inc., Raynham, MA), raumedic catheter Neurovent-P (Raumedic AG, Münchberg, Germany), parenchymal fiber optic pressure sensor (Camino ICP Monitor, Integra Life Sciences, Plainsboro, NJ, United States;
4
Retrospective Analysis of ICU COVID-19 Patients
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We included routine clinical data prospectively recorded and validated in our local ICU COVID‐19 quality registry. Registry data are retrieved from the Swedish Intensive Care Registry and from available electronic patient data management systems (Clinisoft [GE, Barringgton IL] and the Karolinska internal data warehouse, including data from Take Care [CompuGroup Medical, Koblenz, Germany]). In this study, we included all consecutive ICU patients with COVID‐19 recorded in the local ICU COVID‐19 quality registry from 9 March until 20 April 2020. Study end point was 30 April 2020.
Collected data included patient demographics, comorbidities, body mass index (BMI), duration of symptoms preceding ICU admission, medication associated with coronavirus disease administered before and/or during ICU admission, mechanical ventilation, renal replacement therapy, ICU length of stay, discharge destination and mortality. Information on comorbidities was obtained (from previous medical records, chronic medications, and/or from patients or relatives) and recorded by the treating clinician. There was no missing baseline admission data except for BMI (missing data for 30 patients). Clinical outcomes were available for all patients.
Collected data included patient demographics, comorbidities, body mass index (BMI), duration of symptoms preceding ICU admission, medication associated with coronavirus disease administered before and/or during ICU admission, mechanical ventilation, renal replacement therapy, ICU length of stay, discharge destination and mortality. Information on comorbidities was obtained (from previous medical records, chronic medications, and/or from patients or relatives) and recorded by the treating clinician. There was no missing baseline admission data except for BMI (missing data for 30 patients). Clinical outcomes were available for all patients.
5
Comprehensive ICU Data Analysis
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All patients are registered in the electronic ICU patient data management system (PDMS, Clinisoft, GE Healthcare) from which we extracted data on admission diagnosis codes, Acute Physiology And Chronic Health Evaluation (APACHE II) score, Simplified Acute Physiology Score (SAPS 3), all codes for any therapy given within the ICU (invasive ventilation, invasive monitoring, vasoactive medication and renal replacement therapy) as well as time of admission, discharge and readmissions. Demographic data, comorbidities and 30- and 90-day mortality were extracted from KARDA.
6
Automated Medical Procedure Coding
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Data were collected from our institutional database using the French classification for medical procedures “Classification Commune des Actes Médicaux” (CCAM). Each diagnosis (outcome) was associated with a unique diagnostic code number. The coding of medical acts and diagnoses in our database was carried out by the same physician.
We performed computerized data extraction from our local data system DxCare® (DxCare®, Medasys) and Clinisoft® (Centricity Critical Care Clinisoft®, GE Healthcare), the two computerized systems we have been using since 2007.
We performed computerized data extraction from our local data system DxCare® (DxCare®, Medasys) and Clinisoft® (Centricity Critical Care Clinisoft®, GE Healthcare), the two computerized systems we have been using since 2007.
7
Treatment of Severe TBI with ICP Monitoring
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The included patients were treated using the basic clinical routine for patients suffering from ABM combined with treatment according to guidelines related to severe TBI, including intracranial pressure monitoring and ICP-targeting therapy in the NICU [4 (link)]. The treatment aims at an ICP < 20 mmHg and a cerebral perfusion pressure >50 mmHg. Zero-points for MAP and ICP were the temple. All patients are treated in 30° sitting position. All treatment modalities were registered in the patient monitoring system (Clinisoft®; GE Health Care Sverige AB, Danderyd, Sweden). No patient exhibited clinical signs of stroke during the hospitalization. EEG was intermittently performed to exclude seizures.
8
Premature Infant Outcomes: NICU Retrospective
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This retrospective observational study included all consecutive premature infants born <33 weeks of postmenstrual age, admitted to our tertiary Neonatal Intensive Care Unit (NICU) at Geneva University Hospital over a period of four years starting from 1/1/2009.
All data during the first 28 days of life of these neonates were prospectively recorded in our electronic clinical data system (CliniSoft®, General Electric Healthcare, Milwaukee, WI, USA).
All data during the first 28 days of life of these neonates were prospectively recorded in our electronic clinical data system (CliniSoft®, General Electric Healthcare, Milwaukee, WI, USA).
9
Thrombocytopenia in ICU Patients with Malignancy
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Data were computed from medical files and extracted from the patient data management system (CliniSoft, GE Healthcare). For each patient, the following baseline data were collected: demographics (age and gender), type of malignancy (solid tumor or hematologic malignancy), and the presence of other comorbidities such as chronic organ dysfunctions. The presumed or proved mechanisms of central thrombocytopenia were also collected.
The characteristics related to the ICU stay were collected and included the main reasons for ICU admission, the main biological values on admission such as platelet count and leukopenia that was defined by leukocyte count <1000/mm3 and the requirements for organ failure supports during the stay in the ICU. Severity at admission was assessed by Simplified Acute Physiology Score II (SAPS II) and Sequential Organ Failure Assessment (SOFA) score during the first 24 h following ICU admission [7 (link), 8 (link)]. We also calculated a modified SOFA score without the platelet component.
The characteristics related to the ICU stay were collected and included the main reasons for ICU admission, the main biological values on admission such as platelet count and leukopenia that was defined by leukocyte count <1000/mm3 and the requirements for organ failure supports during the stay in the ICU. Severity at admission was assessed by Simplified Acute Physiology Score II (SAPS II) and Sequential Organ Failure Assessment (SOFA) score during the first 24 h following ICU admission [7 (link), 8 (link)]. We also calculated a modified SOFA score without the platelet component.
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