Computer-guided normal-low versus normal-high potassium control after cardiac surgery: No impact on atrial fibrillation or atrial flutter.

INTRODUCTION: This study was designed to determine the effect of 2 different potassium regulation strategies with different targets (within the reference range) on atrial fibrillation (AF) or atrial flutter (AFL) in a cohort of intensive care unit patients after cardiac surgery. METHODS: The GRIP-COMPASS study was a prospective double-blinded interventional study in 910 patients after cardiac surgery (coronary artery bypass grafting and/or valvular surgery). Patients were assigned to either the normal-low potassium target (nLP group, 4.0 mmol/L) or the normal-high potassium target (nHP group, 4.5 mmol/L) in alternating blocks of 50 patients. Potassium levels were regulated using a validated computer-assisted potassium replacement protocol (GRIP-II). The primary end point was the incidence of AF/AFL on a 12-lead electrocardiogram during the first postoperative week. RESULTS: Of the 910 patients, 447 were assigned to the nLP group; and 463, to the nHP group, with no baseline differences between the 2 groups. The mean daily administered dose of potassium was 30 ± 23 mmol (nLP) versus 52 ± 27 mmol (nHP) (P < .001), which resulted in mean intensive care unit potassium concentration of 4.22 ± 0.36 mmol/L and 4.33 ± 0.34 mmol/L, respectively (P < .001). The incidence of AF/AFL after cardiac surgery did not differ: 38% in the nLP group and 41% in the nHP group. Also in several subgroups (eg, patients not known with prior AF/AFL or with valve surgery), there were no differences. CONCLUSIONS: There were no differences in incidence of AF/AFL with 2 potassium regulation strategies with different potassium targets and different amounts of potassium administered in patients after cardiac surgery.

The relationship between serum potassium, potassium variability and in-hospital mortality in critically ill patients and a before-after analysis on the impact of computer-assisted potassium control.

INTRODUCTION: The relationship between potassium regulation and outcome is not known. Our first aim in the present study was to determine the relationship between potassium level and variability in (ICU) stay and outcome. The second aim was to evaluate the impact of a computer-assisted potassium regulation protocol. METHODS: We performed a retrospective before-after study including all patients >15 years of age admitted for more than 24 hours to the ICU of our university teaching hospital between 2002 and 2011. Potassium control was fully integrated with computerized glucose control (glucose and potassium regulation program for intensive care patients (GRIP-II)). The potassium metrics that we determined included mean potassium, potassium variability (defined as the standard deviation of all potassium levels) and percentage of ICU time below and above the reference range (3.5 through 5.0 mmol/L). These metrics were determined for the first ICU day (early phase) and the subsequent ICU days (late phase; that is, day 2 to day 7). We also compared potassium metrics and in-hospital mortality before and after GRIP-II was implemented in 2006. RESULTS: Of all 22,347 ICU admissions, 10,451 (47%) patients were included. A total of 206,987 potassium measurements were performed in these patients. Glucose was regulated by GRIP-II in 4,664 (45%) patients. The overall in-hospital mortality was 22%. There was a U-shaped relationship between the potassium level and in-hospital mortality (P <0.001). Moreover, potassium variability was independently associated with outcome. After implementation of GRIP-II, in the late phase the time below 3.5 mmol/L decreased from 9.2% to 3.9% and the time above 5.0 mmol/L decreased from 6.1% to 5.2%, and potassium variability decreased from 0.31 to 0.26 mmol/L (all P <0.001). The overall decrease in in-hospital mortality from 23.3% before introduction of GRIP-II to 19.9% afterward (P <0.001) was not related to a specific potassium subgroup. CONCLUSIONS: Hypokalemia, hyperkalemia and potassium variability were independently associated with increased mortality. Computerized potassium control clearly resulted in improved potassium metrics.

Determinants of renal potassium excretion in critically ill patients: the role of insulin therapy.

OBJECTIVES: Insulin administration lowers plasma potassium concentration by augmenting intracellular uptake of potassium. The effect of insulin administration on renal potassium excretion is unclear. Some studies suggest that insulin has an antikaliuretic effect although plasma potassium levels were poorly controlled. Since the introduction of glycemic control in the intensive care unit, insulin use has increased. We examined the relation between administered insulin and renal potassium excretion in critically ill patients under computer-assisted glucose and potassium regulation. DESIGN: Prospective observational study. SETTING: Twelve-bed surgical intensive care unit of a university teaching hospital. PATIENTS: Consecutive intensive care unit patients. INTERVENTIONS: Potassium and glucose levels were regulated by a computer-assisted decision support system. Both potassium and insulin were continuously administered by syringe pump. MEASUREMENTS AND MAIN RESULTS: Renal potassium excretion was measured daily in the 24-hr urine collections. The 24-hr urinary samples of patients with kidney failure or on renal replacement therapy were excluded. Multivariate analysis with potassium excretion as the dependent variable was performed. In 178 consecutive patients, 1,456 24-hr urinary samples, were analyzed. Mean ± SD plasma potassium was 4.2 ± 0.3 mmol/L, with 79 ± 46 mmol/d of potassium administered and a mean insulin dose of 53 ± 38 U/day. Renal potassium excretion was 126 ± 51 mmol/day. After multivariate analysis correcting for relevant variables (including diuretics, pH, potassium levels and renal sodium excretion), insulin administration was independently and positively associated with renal potassium excretion. Other significant variables were potassium levels, potassium administration, renal sodium and chloride excretion, creatinine clearance, diuretic therapy, pH, known diabetes and intensive care unit admission day (R = .52; p <. 001). CONCLUSION: Insulin administration is associated with an increase in the renal potassium excretion in critically ill patients.

Computer-assisted quantification of myocardial reperfusion after primary percutaneous coronary intervention predicts functional and contrast-enhanced cardiovascular magnetic resonance outcomes in patients with ST-segment elevation myocardial infarction.

OBJECTIVE: We investigated whether the Quantitative Blush Evaluator (QuBE) value predicts functional and contrast-enhanced cardiovascular magnetic resonance (CMR) outcomes at 4-6 months after primary percutaneous coronary intervention (PCI) inpatients with ST-segment elevation myocardial infarction (STEMI). BACKGROUND: QuBEis a computer-assisted open source program to quantify myocardial reperfusion.Although a higher QuBE value is associated with improved myocardial reperfusion measures and lower 1-year mortality, the association with intermediate functional parameters after STEMI has not yet been investigated. METHODS: QuBE values were quantified retrospectively on angiograms of patients enrolled in the ancillary CMR study of the proximal embolic protection in acute myocardial infarction and resolution of ST-elevation trial. QuBE en CMR outcomes were independently assessed by reviewers blinded to clinical data. RESULTS: A higher QuBE value was significantly associated with a smaller left ventricular (LV) end-diastolic and end-systolic volume, a higher LV ejection fraction and systolic wall thickening in the infarct area, and a smaller final infarct size and extent of transmural segments (P ≤ 0.008). In a multivariable model, including age, gender, infarct location, time to treatment, history of myocardial infarction, and postprocedural thrombolysis in myocardial infarction flow grade,only the QuBE value and infarct location remained as independent predictors of LV ejection fraction (P 5 0.018 for QuBE value). CONCLUSION: Higher QuBE values are independently associated with improved functional and contrast-enhanced CMR outcomes including LV ejection fraction at 4-6 months after primary PCI and may therefore aid in identifying high-risk patients who benefit most from adjunctive therapies sustaining myocardial function after PCI.

Feasibility and applicability of computer-assisted myocardial blush quantification after primary percutaneous coronary intervention for ST-segment elevation myocardial infarction.

OBJECTIVES: The aim of the study was to evaluate whether the "Quantitative Blush Evaluator" (QuBE) score is associated with measures of myocardial reperfusion in patients with ST-segment elevation myocardial infarction (STEMI) treated in two hospitals with 24/7 coronary intervention facilities. BACKGROUND: QuBE is an open source computer program to quantify myocardial perfusion. Although QuBE has shown to be practical and feasible in the patients enrolled in the Thrombus Aspiration during Percutaneous Coronary Intervention in Acute Myocardial Infarction Study (TAPAS), QuBE has not yet been verified on reperfusion outcomes of primary percutaneous coronary intervention (PCI) patients treated in other catheterization laboratories. METHODS: Core lab adjudicated angiographic outcomes and QuBE values were assessed on angiograms of patients who were enrolled in the PRoximal Embolic Protection in Acute myocardial infarction and Resolution of ST-Elevation (PREPARE) trial. ST-segment resolution immediately after PCI measured by continuous ST Holter monitoring was calculated by a blinded core lab. RESULTS: The QuBE score could be assessed on 229 of the 284 angiograms (81%) and was significantly associated with visually assessed myocardial blush grade (P < 0.0001). Patients with improved postprocedural Thrombolysis in Myocardial Infarction-graded flow, myocardial blush grade, ST-segment resolution immediately after PCI, or a small infarct size measured by peak CK-MB had a significant better QuBE score. CONCLUSIONS: QuBE is feasible and applicable at angiograms of patients with STEMI recorded at other catheterization laboratories and is associated with measures of myocardial reperfusion.

Trial design: Computer guided normal-low versus normal-high potassium control in critically ill patients: Rationale of the GRIP-COMPASS study.

BACKGROUND: Potassium depletion is common in hospitalized patients and can cause serious complications such as cardiac arrhythmias. In the intensive care unit (ICU) the majority of patients require potassium suppletion. However, there are no data regarding the optimal control target in critically ill patients. After open-heart surgery, patients have a strongly increased risk of atrial fibrillation or atrial flutter (AFF). In a novel trial design, we examined if in these patients different potassium control-targets within the normal range may have different effects on the incidence of AFF. METHODS/DESIGN: The "computer-driven Glucose and potassium Regulation program in Intensive care Patients with COMparison of PotASSium targets within normokalemic range (GRIP-COMPASS) trial" is a single-center prospective trial in which a total of 1200 patients are assigned to either a potassium control-target of 4.0 mmol/L or 4.5 mmol/L in consecutive alternating blocks of 50 patients each. Potassium levels are regulated by the computer-assisted potassium suppletion algorithm called GRIP-II (Glucose and potassium regulation for Intensive care Patients). Primary endpoint is the in-hospital incidence of AFF after cardiac surgery. Secondary endpoints are: in-hospital AFF in medical patients or patients after non-cardiac surgery, actually achieved potassium levels and their variation, electrolyte and glucose levels, potassium and insulin requirements, cumulative fluid balance, (ICU) length of stay, ICU mortality, hospital mortality and 90-day mortality. DISCUSSION: The GRIP-COMPASS trial is the first controlled clinical trial to date that compares potassium targets. Other novel methodological elements of the study are that it is performed in ICU patients where both targets are within the normal range and that a computer-assisted potassium suppletion algorithm is used. TRIAL REGISTRATION: NCT 01085071 at ClinicalTrials.gov.

Implementation and evaluation of a nurse-centered computerized potassium regulation protocol in the intensive care unit--a before and after analysis.

BACKGROUND: Potassium disorders can cause major complications and must be avoided in critically ill patients. Regulation of potassium in the intensive care unit (ICU) requires potassium administration with frequent blood potassium measurements and subsequent adjustments of the amount of potassium administrated. The use of a potassium replacement protocol can improve potassium regulation. For safety and efficiency, computerized protocols appear to be superior over paper protocols. The aim of this study was to evaluate if a computerized potassium regulation protocol in the ICU improved potassium regulation. METHODS: In our surgical ICU (12 beds) and cardiothoracic ICU (14 beds) at a tertiary academic center, we implemented a nurse-centered computerized potassium protocol integrated with the pre-existent glucose control program called GRIP (Glucose Regulation in Intensive Care patients). Before implementation of the computerized protocol, potassium replacement was physician-driven. Potassium was delivered continuously either by central venous catheter or by gastric, duodenal or jejunal tube. After every potassium measurement, nurses received a recommendation for the potassium administration rate and the time to the next measurement. In this before-after study we evaluated potassium regulation with GRIP. The attitude of the nursing staff towards potassium regulation with computer support was measured with questionnaires. RESULTS: The patient cohort consisted of 775 patients before and 1435 after the implementation of computerized potassium control. The number of patients with hypokalemia (<3.5 mmol/L) and hyperkalemia (>5.0 mmol/L) were recorded, as well as the time course of potassium levels after ICU admission. The incidence of hypokalemia and hyperkalemia was calculated. Median potassium-levels were similar in both study periods, but the level of potassium control improved: the incidence of hypokalemia decreased from 2.4% to 1.7% (P < 0.001) and hyperkalemia from 7.4% to 4.8% (P < 0.001). Nurses indicated that they considered computerized potassium control an improvement over previous practice. CONCLUSIONS: Computerized potassium control, integrated with the nurse-centered GRIP program for glucose regulation, is effective and reduces the prevalence of hypo- and hyperkalemia in the ICU compared with physician-driven potassium regulation.

Computer-assisted myocardial blush quantification after percutaneous coronary angioplasty for acute myocardial infarction: a substudy from the TAPAS trial.

AIMS: Myocardial reperfusion after acute myocardial infarction can be angiographically assessed by the myocardial blush grade (MBG) or TIMI Perfusion Grade. These scores are based on subjective human judgement and lead to a score of four categories. A more operator-independent way of scoring myocardial perfusion may facilitate research in this area. METHODS AND RESULTS: We designed the 'Quantitative Blush Evaluator' (QuBE), a computer program which calculates a score for myocardial perfusion. This program will be freely available as open source software. The inter-observer concordance was 97.7%. We calculated values on prospectively collected angiograms in patients with acute ST-elevation myocardial infarction from the TAPAS trial. Quantitative blush evaluator values could be assessed on 790 out of 980 collected angiograms (81%). The QuBE score correlated significantly with MBG as determined by a core lab. The QuBE score predicted complete ST-elevation resolution, low enzyme levels, and 1 year survival (all P < 0.001). Quantitative blush evaluator value was an independent predictor of mortality at 1 year [OR 0.40 (0.17-0.90), P = 0.02]. CONCLUSION: The QuBE program provides a practical, freely available computer-assisted assessment of myocardial perfusion. The QuBE score provides a useful surrogate endpoint in trials of therapies aimed at improving myocardial reperfusion.

Incidence and clinical consequences of distal embolization on the coronary angiogram after percutaneous coronary intervention for ST-elevation myocardial infarction.

AIMS: We investigated the incidence and sequelae of angiographically visible distal embolization (AVDE) after primary percutaneous coronary intervention (PCI) in ST-elevation myocardial infarction patients treated with aspirin, heparin, clopidogrel, and glycoprotein-IIb/IIIa inhibitors. METHODS AND RESULTS: As part of TAPAS, AVDE was a predefined secondary endpoint. We compared angiographic and clinical characteristics, and outcomes of patients with and without AVDE after PCI. AVDE was present on 6.3% of 883 post-procedural angiograms. Angiographically visible distal embolization was associated with significantly worse outcomes, as expressed by lower myocardial blush grade, impaired ST-segment resolution, and higher enzyme levels (all P

Emergency trauma score: an instrument for early estimation of trauma severity.

OBJECTIVES: Early estimation of the mortality risk of severely injured patients is mandatory. To estimate the seriousness of the condition of patients with trauma, we developed the emergency trauma score (EMTRAS) for ease of use, with simple parameters that are available within 30 minutes. DESIGN: Prospective analysis of the German Trauma Registry of multitrauma patients. SETTING: EMTRAS was derived from data from 1993 through 2003. Potential parameters that were prognostic for mortality in univariate analysis were evaluated by multivariate binary logistic regression. Selected parameters were then assigned a subscore that varied from 0 to 3. The EMTRAS score was a simple addition of these subscores. EMTRAS was compared with other scores' receiver operating characteristic curves. After completion, EMTRAS was validated in patients from 2004 and 2005. PATIENTS: A total of 11,533 patients were to be used for developing the score and 3314 patients for validating it. MAIN RESULTS: The strongest predictors of mortality were age, prehospital Glasgow Coma Scale, base excess (mmol/L), and prothrombin time (% of reference). These parameters were categorized in subscores of 0 through 3. Age: <40, 40 through 60, 61 through 75, and >75 scored 0, 1, 2, and 3, respectively. Glasgow Coma Scale: 13 through 15, 10 through 12, 6 through 9, and 3 through 5 scored 0, 1, 2, and 3, respectively. Base excess: >-1, -5 through -1, -10 through -5.1, and <-10 scored 0, 1, 2, and 3, respectively. Prothrombin time: <80%, 80% through 50%, 49% through 20%, and >20% received a score of 0, 1, 2, and 3, respectively. In the validation dataset, the area under the receiver operating characteristic curve for EMTRAS was 0.828. CONCLUSIONS: EMTRAS combines four early parameters from the emergency room and accurately predicts mortality. Knowledge of the anatomical injuries is not necessary. The determination of the EMTRAS will inform caregivers of the seriousness of patients with trauma at an early stage.

Health technology assessment review: Computerized glucose regulation in the intensive care unit--how to create artificial control.

Current care guidelines recommend glucose control (GC) in critically ill patients. To achieve GC, many ICUs have implemented a (nurse-based) protocol on paper. However, such protocols are often complex, time-consuming, and can cause iatrogenic hypoglycemia. Computerized glucose regulation protocols may improve patient safety, efficiency, and nurse compliance. Such computerized clinical decision support systems (Cuss) use more complex logic to provide an insulin infusion rate based on previous blood glucose levels and other parameters. A computerized CDSS for glucose control has the potential to reduce overall workload, reduce the chance of human cognitive failure, and improve glucose control. Several computer-assisted glucose regulation programs have been published recently. In order of increasing complexity, the three main types of algorithms used are computerized flowcharts, Proportional-Integral-Derivative (PID), and Model Predictive Control (MPC). PID is essentially a closed-loop feedback system, whereas MPC models the behavior of glucose and insulin in ICU patients. Although the best approach has not yet been determined, it should be noted that PID controllers are generally thought to be more robust than MPC systems. The computerized Cuss that are most likely to emerge are those that are fully a part of the routine workflow, use patient-specific characteristics and apply variable sampling intervals.

Predictive value of Q waves on the 12-lead electrocardiogram after reperfusion therapy for ST elevation myocardial infarction.

DESIGN: The data used for the present study were obtained as part of a clinical trial evaluating the effect of thrombus aspiration after primary percutaneous coronary intervention (PCI). SETTING: The study was conducted at a tertiary referral facility for primary PCI at a University Medical Center Groningen in The Netherlands. BACKGROUND: Prognosis after ST elevation myocardial infarction (STEMI) is strongly related to infarct size. METHODS: As part of a randomized clinical trial, the first electrocardiogram (ECG) after primary PCI for STEMI was analyzed for the incidence of Q waves (>0.1 mV) on the 12-lead ECG. Infarct size was measured as area under curve (AUC) of creatine kinase (CK) and CK-myocardial band (CK-MB). RESULTS AND CONCLUSION: Nine hundred thirty-three patients were included, the median number of Q waves on the postprocedural ECG was 3 (interquartile range, 1-4). The number of Q waves on the postprocedural ECG was an independent predictor of infarct size measured either as AUC of CK (P < .001) or AUC of CK-MB (P < .001) and was a significant predictor of mortality during follow-up of 14 months. In conclusion, the number of Q waves on the postprocedural 12-lead ECG after primary PCI for STEMI is a strong predictor of infarct size and long-term mortality.

Computer-assisted glucose control in critically ill patients.

OBJECTIVE: Intensive insulin therapy is associated with the risk of hypoglycemia and increased costs of material and personnel. We therefore evaluated the safety and efficiency of a computer-assisted glucose control protocol in a large population of critically ill patients. DESIGN AND SETTING: Observational cohort study in three intensive care units (32 beds) in a 1,300-bed university teaching hospital. PATIENTS: All 2,800 patients admitted to the surgical, neurosurgical, and cardiothoracic units; the study period started at each ICU after implementation of Glucose Regulation for Intensive Care Patients (GRIP), a freely available computer-assisted glucose control protocol. MEASUREMENTS AND RESULTS: We analysed compliance in relation to recommended insulin pump rates and glucose measurement frequency. Patients were on GRIP-ordered pump rates 97% of time. Median measurement time was 5min late (IQR 20min early to 34 min late). Hypoglycemia was uncommon (7% of patients for mild hypoglycemia, < 3.5mmol/l; 0.86% for severe hypoglycemia, < 2.2 mmol/l). Our predefined target range (4.0-7.5 mmol/l) was reached after a median of 5.6 h (IQR 0.2-11.8) and maintained for 89% (70-100%) of the remaining stay at the ICU. The number of measurements needed was 5.9 (4.8-7.3) per patient per day. In-hospital mortality was 10.1%. CONCLUSIONS: Our computer-assisted glucose control protocol provides safe and efficient glucose regulation in routine intensive care practice. A low rate of hypoglycemic episodes was achieved with a considerably lower number of glucose measurements than used in most other schemes.

The feasibility and safety of routine thrombus aspiration in patients with non-ST-elevation myocardial infarction.

OBJECTIVES: To investigate the feasibility and safety of manual thrombus aspiration in patients undergoing percutaneous coronary intervention (PCI) for non-ST-elevation myocardial infarction (NSTEMI). BACKGROUND: Myocardial necrosis in patients with acute coronary syndromes may be a sign of microvascular obstruction, owing to spontaneous or PCI-induced embolization of atherothrombotic material. Manual thrombus aspiration results in improved myocardial reperfusion in patients undergoing PCI for ST-elevation myocardial infarction. Currently, no published data on thrombus aspiration in patients with NSTEMI are available. METHODS: As part of a prospective cohort study, 70 patients undergoing PCI for NSTEMI were treated with thrombus aspiration (Export Aspiration Catheter, Medtronic, Minneapolis, MN). Histopathological analysis was performed on aspirated material. RESULTS: Thrombus aspiration was effective in 58 patients (83%) and resulted in a marked reduction of TIMI-thrombus score 4/5 (40% pre- versus 7% postthrombus aspiration) and increase of the rate of TIMI-flow 3 (36% pre- versus 66% postthrombus aspiration). The incidence of myocardial blush grade 2 and 3 were 39 and 45%, respectively. Distal embolization was visible in three patients (4%) on the final angiogram. CONCLUSION: This study demonstrates that thrombus aspiration in most NSTEMI patients is feasible and safe and is associated with a high rate of retrieval of thrombotic material.

Persistent hyperglycemia is an independent predictor of outcome in acute myocardial infarction.

BACKGROUND: Elevated blood glucose values are a prognostic factor in myocardial infarction (MI) patients. The unfavourable relation between hyperglycemia and outcome is known for admission glucose and fasting glucose after admission. These predictors are single measurements and thus not indicative of overall hyperglycemia. Increased persistent hyperglycemia may better predict adverse events in MI patients. METHODS: In a prospective study of MI patients treated with primary percutaneous coronary intervention (PCI) frequent blood glucose measurements were obtained to investigate the relation between glucose and the occurrence of major adverse cardiac events (MACE) at 30 days follow-up. MACE was defined as death, recurrent infarction, repeat primary coronary intervention, and left ventricular ejection fraction equal to or smaller than 30%. RESULTS: MACE occurred in 89 (21.3%) out 417 patients. In 17 patients (4.1%) it was a fatal event. A mean of 7.4 glucose determinations were available per patient. Mean +/- SD admission glucose was 10.1 +/- 3.7 mmol/L in patients with a MACE versus 9.1 +/- 2.7 mmol/L in event-free patients (P = 0.0024). Mean glucose during the first two days after admission was 9.0 +/- 2.8 mmol/L in patients with MACE compared to 8.1 +/- 2.0 mmol/L in event free patients (P < 0.0001). The area under the receiver operator characteristic curve was 0.64 for persistent hyperglycemia and 0.59 for admission glucose. Persistent hyperglycemia emerged as a significant independent predictor (P < 0.001). CONCLUSION: Persistent hyperglycemia in MI has a stronger relation with 30-day MACE than elevated glucose at admission.

The impact of a reduced dose of dexamethasone on glucose control after coronary artery bypass surgery.

BACKGROUND: Intensive insulin therapy to maintain normoglycemia after cardiac surgery reduces morbidity and mortality. We investigated the magnitude and duration of hyperglycemia caused by dexamethasone administered after cardiopulmonary bypass. METHODS: A single-center before-after cohort study was performed. All consecutive patients undergoing coronary artery bypass grafting with cardiopulmonary bypass during a 6-month period were included. Insulin administration was guided by a sliding scale protocol. Halfway the observation period, the dexamethasone protocol was changed. The single dose (1D) group received a pre-operative dose of dexamethasone of 1 mg/kg. The double dose group (2D) received an additional dose of 0.5 mg/kg of dexamethasone post-operatively at ICU admission. RESULTS: We included 116 patients in the 1D group and 158 patients in the 2D group. There were no significant baseline differences between the groups. Median Euroscore was 5. In univariable analysis, the glucose level was different between groups 1D and 2D at 4, 6, 9, 12 and 24 hours after ICU admission (all p < 0.001). Insulin infusion was higher in the 1D group. Corrected for insulin dose in multivariable linear analysis, the difference in glucose between the 1D and 2D groups was 1.5 mmol/L (95% confidence interval 1.0-2.0, p < 0.001) 12 hours after ICU admission. CONCLUSION: Dexamethasone exerts a hyperglycemic effect in cardiac surgery patients. Patients receiving high-dose corticosteroid therapy should be monitored and treated more intensively for hyperglycemic episodes.

A common open representation of mass spectrometry data and its application to proteomics research.

A broad range of mass spectrometers are used in mass spectrometry (MS)-based proteomics research. Each type of instrument possesses a unique design, data system and performance specifications, resulting in strengths and weaknesses for different types of experiments. Unfortunately, the native binary data formats produced by each type of mass spectrometer also differ and are usually proprietary. The diverse, nontransparent nature of the data structure complicates the integration of new instruments into preexisting infrastructure, impedes the analysis, exchange, comparison and publication of results from different experiments and laboratories, and prevents the bioinformatics community from accessing data sets required for software development. Here, we introduce the 'mzXML' format, an open, generic XML (extensible markup language) representation of MS data. We have also developed an accompanying suite of supporting programs. We expect that this format will facilitate data management, interpretation and dissemination in proteomics research.

Mean glucose level is not an independent risk factor for mortality in mixed ICU patients.

OBJECTIVE: To find out if there is an association between hyperglycaemia and mortality in mixed ICU patients. DESIGN AND SETTING: Retrospective cohort study over a 2-year period at the medical ICU of a university hospital. MEASUREMENTS: Admission glucose, maximum and mean glucose, length of stay, mortality, insulin therapy and Apache-II score. RESULTS: In 1085 consecutive patients, ICU- and hospital mortality were 20 and 25%, respectively. The total number of blood glucose measurements was 10.012. Admission glucose was 7.9 +/- 4.5 mmol/l (mean +/- SD), mean glucose 7.5 +/- 2.9 and maximum glucose 10.0 +/- 5.4 mmol/l. Median ICU length of stay (LOS) was 3.0 days (range 2.0-6.0 days, IQR), and hospital LOS was 16 days (range 7-32 days). In 28% of patients insulin treatment was started. Median Apache-II score was 13. 68% of patients were mechanically ventilated. Univariate analysis showed an association with ICU mortality for mean glucose (non-survivors 8.6 +/- 4.3 vs 7.2 +/- 2.4 survivors), maximum glucose (11.7 +/- 5.9 vs 9.6 +/- 5.2, non-survivors vs survivors, respectively), use of insulin (mortality 29 vs 17% in patients not using insulin) and age (61 vs 55.7 years). Gender and a history of diabetes mellitus were not associated with mortality. In a multivariate model, the Apache-II score was the only variable associated with mortality independent of other variables, including mean blood glucose. CONCLUSION: In this retrospective study mean glucose level was not an independent risk factor for mortality in mixed ICU patients.

Design and implementation of GRIP: a computerized glucose control system at a surgical intensive care unit.

BACKGROUND: Tight glucose control by intensive insulin therapy has become a key part of critical care and is an important field of study in acute coronary care. A balance has to be found between frequency of measurements and the risk of hypoglycemia. Current nurse-driven protocols are paper-based and, therefore, rely on simple rules. For safety and efficiency a computer decision support system that employs complex logic may be superior to paper protocols. METHODS: We designed and implemented GRIP, a stand-alone Java computer program. Our implementation of GRIP will be released as free software. Blood glucose values measured by a point-of-care analyzer were automatically retrieved from the central laboratory database. Additional clinical information was asked from the nurse and the program subsequently advised a new insulin pump rate and glucose sampling interval. RESULTS: Implementation of the computer program was uneventful and successful. GRIP treated 179 patients for a total of 957 patient-days. Severe hypoglycemia (< 2.2 mmol/L) only occurred once due to human error. With a median (IQR) of 4.9 (4.2-6.2) glucose measurements per day the median percentage of time in which glucose fell in the target range was 78%. Nurses rated the program as easy to work with and as an improvement over the preceding paper protocol. They reported no increase in time spent on glucose control. CONCLUSION: A computer driven protocol is a safe and effective means of glucose control at a surgical ICU. Future improvements in the recommendation algorithm may further improve safety and efficiency.