Caractéristiques de départ et issues chez des patients atteints de COVID-19 hospitalisés dans des unités de soins intensifs à Vancouver (Canada) : série de cas.

CONTEXTE: La pandémie de maladie à coronavirus du syndrome respiratoire aigu sévère 2 (SRAS-CoV-2) est associée à une mortalité élevée dans les unités de soins intensifs (USI). Nous avons voulu décrire les caractéristiques cliniques et les issues des patients gravement atteints de la maladie à coronavirus 2019 (COVID-19) en contexte canadien. MÉTHODES: Nous avons procédé à l'étude rétrospective d'une série de cas graves d'infection au SRAS-CoV-2 confirmée en laboratoire hospitalisés dans l'une des 6 USI du Vancouver métropolitain, en Colombie-Britannique (Canada), entre le 21 février et le 14 avril 2020. Les données démographiques, les renseignements sur la prise en charge et les résultats ont été recueillis à partir des dossiers médicaux, électroniques ou non, des patients. RÉSULTATS: Entre le 21 février et le 14 avril 2020, 117 patients ont été admis dans une USI avec un diagnostic confirmé de COVID-19. L'âge médian était de 69 ans (écart interquartile [EI] 60­75 ans); et 38 (32,5 %) étaient des femmes. Au moins une comorbidité était présente chez 86 patients (73,5 %). La ventilation mécanique a été nécessaire chez 74 patients (63,2 %). La durée de la ventilation mécanique a été de 13,5 jours (EI 8­22 jours) dans l'ensemble et de 11 jours (II 6­16) chez les patients qui ont reçu leur congé de l'USI. Du tocilizumab a été administré à 4 patients et de l'hydroxychloroquine à 1 patient. En date du 5 mai 2020, 18 patients (15,4 %) étaient décédés, 12 (10,3 %) étaient toujours à l'USI, 16 (13,7 %) avaient obtenu leur congé de l'USI, mais restaient hospitalisés, et 71 (60,7 %) avaient pu retourner à la maison. INTERPRÉTATION: Dans cette étude, la mortalité chez les patients gravement malades de la COVID-19 hospitalisés dans une USI a été moins élevée que chez les patients d'études précédentes. Ces résultats donnent à penser que le pronostic des cas graves de COVID-19 pourrait ne pas être aussi sombre que ce qui avait d'abord été rapporté.

Association between intensive care unit occupancy at discharge, afterhours discharges, and clinical outcomes: a historical cohort study.

PURPOSE: There is a paucity of evidence evaluating whether intensive care unit (ICU) discharge occupancy is associated with clinical outcomes. It is unknown whether increased discharge occupancy leads to greater afterhours discharges and downstream consequences. We explore the association between ICU discharge occupancy and afterhours discharges, 72-hr readmission, and 30-day mortality. METHODS: This single-centre, historical cohort study included all patients discharged from the Vancouver General Hospital ICU between 5 April 2010 and 13 September 2017. Data were obtained from the British Columbia Critical Care Database. Occupancy was defined as the number of ICU bed hours utilized divided by the available bed hours for that day. Any discharge between 22:00 and 6:59 was considered afterhours. Logistic regression models adjusting for important covariates were constructed. RESULTS: We included 8,862 ICU discharges representing 7,288 individual patients. There were 1,180 (13.3%) afterhours discharges, 408 (4.6%) 72-hr readmissions, and 574 (6.5%) 30-day post-discharge deaths. Greater discharge occupancy was associated with afterhours discharges (per 10% increase: adjusted odds ratio [aOR], 1.12; 95% confidence interval [CI], 1.03 to 1.20; P = 0.005). Discharge occupancy was not associated with 72-hr readmission (per 10% increase: aOR, 0.97; 95% CI, 0.87 to 1.09; P = 0.62) or 30-day mortality (per 10% increase: aOR, 1.05; 95% CI, 0.95 to 1.16; P = 0.32). Afterhours discharge was not associated with 72-hr readmission (aOR, 1.15; 95% CI, 0.86 to 1.54; P = 0.34) or 30-day mortality (aOR, 1.05; 95% CI, 0.82 to 1.36; P = 0.69). CONCLUSIONS: Greater ICU discharge occupancy was associated with a significant increase in afterhours discharges. Nevertheless, neither discharge occupancy nor afterhours discharge were associated with 72-hr readmission or 30-day mortality.

RéSUMé: OBJECTIF: Il n'existe que peu de données probantes évaluant si le taux d'occupation de l'unité de soins intensifs (USI) au moment du congé est associé aux devenirs cliniques. Nous ne savons pas si un taux d'occupation plus élevé au moment du congé entraîne davantage de congés pendant la nuit et si cette situation a des conséquences. Nous avons exploré l'association entre le taux d'occupation de l'USI au moment du congé et les congés donnés pendant la nuit, la réadmission dans les premières 72 h, et la mortalité à 30 jours. MéTHODE: Cette étude de cohorte historique et monocentrique a englobé tous les patients ayant reçu leur congé de l'USI de l'Hôpital général de Vancouver entre le 5 avril 2010 et le 13 septembre 2017. Les données ont été tirées de la Base de données des soins intensifs de Colombie-Britannique (British Columbia Critical Care Database). Le taux d'occupation était défini comme le nombre d'heures d'occupation de lit de l'USI utilisées divisé par le nombre d'heures d'occupation de lit disponibles pour ladite journée. Tout congé reçu entre 22 h et 6 h 59 était considéré comme survenant pendant la nuit. Des modèles de régression logistique ont été élaborés afin de tenir compte des covariables importantes. RéSULTATS: Nous avons inclus 8862 congés de l'USI, représentant 7288 patients individuels. Au total, il y a eu 1180 (13,3 %) congés donnés pendant la nuit, 408 (4,6 %) réadmissions dans les 72 h suivantes, et 574 (6,5 %) décès à 30 jours après le congé. Un taux d'occupation plus élevé au moment du congé était associé à des congés pendant la nuit (par augmentation de 10 % : rapport de cotes ajusté [RCA], 1,12; intervalle de confiance [IC] 95 %, 1,03 à 1,20; P = 0,005). Le taux d'occupation lors du congé n'a pas été associé à une réadmission dans les premières 72 h (par augmentation de 10 % : RCA, 0,97; IC 95 %, 0,87 à 1,09; P = 0,62) ou à une mortalité à 30 jours (par augmentation de 10 % : RCA, 1,05; IC 95 %, 0,95 à 1,16; P = 0,32). Les congés pendant la nuit n'ont pas été associés à une réadmission dans les 72 h suivantes (RCA, 1,15; IC 95 %, 0,86 à 1,54; P = 0,34) ou à une mortalité à 30 jours (RCA, 1,05; IC 95 %, 0,82 à 1,36; P = 0,69). CONCLUSION: Un taux d'occupation de l'USI plus élevé au moment du congé était associé à une augmentation significative des congés donnés pendant la nuit. Cependant, ni le taux d'occupation lors du congé, ni le congé donné pendant la nuit, n'étaient associés à une réadmission à 72 h ou une mortalité à 30 jours.

Baseline characteristics and outcomes of patients with COVID-19 admitted to intensive care units in Vancouver, Canada: a case series.

BACKGROUND: Pandemic severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is associated with high intensive care unit (ICU) mortality. We aimed to describe the clinical characteristics and outcomes of critically ill patients with coronavirus disease 2019 (COVID-19) in a Canadian setting. METHODS: We conducted a retrospective case series of critically ill patients with laboratory-confirmed SARS-CoV-2 infection consecutively admitted to 1 of 6 ICUs in Metro Vancouver, British Columbia, Canada, between Feb. 21 and Apr. 14, 2020. Demographic, management and outcome data were collected by review of patient charts and electronic medical records. RESULTS: Between Feb. 21 and Apr. 14, 2020, 117 patients were admitted to the ICU with a confirmed diagnosis of COVID-19. The median age was 69 (interquartile range [IQR] 60-75) years, and 38 (32.5%) were female. At least 1 comorbidity was present in 86 (73.5%) patients. Invasive mechanical ventilation was required in 74 (63.2%) patients. The duration of mechanical ventilation was 13.5 (IQR 8-22) days overall and 11 (IQR 6-16) days for patients successfully discharged from the ICU. Tocilizumab was administered to 4 patients and hydroxychloroquine to 1 patient. As of May 5, 2020, a total of 18 (15.4%) patients had died, 12 (10.3%) remained in the ICU, 16 (13.7%) were discharged from the ICU but remained in hospital, and 71 (60.7%) were discharged home. INTERPRETATION: In our setting, mortality in critically ill patients with COVID-19 admitted to the ICU was lower than in previously published studies. These data suggest that the prognosis associated with critical illness due to COVID-19 may not be as poor as previously reported.

Routine HIV testing in acute care hospitals: Changing practice to curb a local HIV epidemic in Vancouver, BC.

Early treatment of HIV infection increases life expectancy and reduces infectivity; however, delayed HIV diagnosis remains common. Implementation and sustainability of hospital-based routine HIV testing in Vancouver, British Columbia, was evaluated to address a local HIV epidemic by facilitating earlier diagnosis and treatment. Public health issued a recommendation in 2011 to offer HIV testing to all patients presenting to three Vancouver hospitals as part of routine care, including all patients admitted to medical/surgical units with expansion to emergency departments (ED). We evaluated acceptability, feasibility, and effectiveness from 2011 to 2014 and continued monitoring through 2016 for sustainability. Between October 2011-December 2016, 114,803 HIV tests were administered at the three hospitals; an 11-fold increase following implementation of routine testing. The rate of testing was sustained and remained high through 2018. Of those tested, 151 patients were diagnosed with HIV for a testing yield of 0.13%. Review of 12,996 charts demonstrated 4935/5876 (96·9%) of admitted patients agreed to have an HIV test when offered. People diagnosed in hospital were significantly more likely to be diagnosed with acute stage (aOR 1·96, 95% CI 1·19, 3·23) infection, particularly those diagnosed in the ED. This study provides practice-based evidence of the feasibility, acceptability, and effectiveness of implementing a recommendation for routine HIV testing among inpatient and emergency department admissions, as well as the ability to normalize and sustain this change. Routine hospital-based HIV testing can increase diagnoses of acute HIV infection and facilitate earlier initiation of antiretroviral treatment.

Association of intensive care unit occupancy during admission and inpatient mortality: a retrospective cohort study.

PURPOSE: There is conflicting evidence regarding the influence of intensive care unit (ICU) occupancy at the time of admission on important patient outcomes such as mortality. The objective of this analysis was to characterize the association between ICU occupancy at the time of ICU admission and subsequent mortality. METHODS: This single-centre, retrospective cohort study included all patients admitted to the ICU at the Vancouver General Hospital between 4 January 2010 and 8 October 2017. Intensive care unit occupancy was defined as the number of ICU bed hours utilized in a day divided by the total amount of ICU bed hours available for that day. We constructed mixed-effects logistic regression models controlling for relevant covariates to assess the impact of admission occupancy quintiles on total inpatient (ICU and ward) and early (72-hr) ICU mortality. RESULTS: This analysis included 10,365 ICU admissions by 8,562 unique patients. Compared with ICU admissions in the median occupancy quintile, admissions in the highest and second highest occupancy quintile were associated with a significant increase in the odds of inpatient mortality (highest: odds ratio [OR], 1.33; 95% confidence interval [CI], 1.12 to 1.59; P value < 0.001; second highest: OR, 1.21; 95% CI, 1.02 to 1.44; P value < 0.03). No association between admission occupancy and 72-hr ICU mortality was observed. CONCLUSIONS: Admission to the ICU on days of high occupancy was associated with increased inpatient mortality, but not with increased 72-hr ICU mortality. Capacity strain on the ICU may result in significant negative consequences for patients, but further research is needed to fully characterize the complex effects of capacity strain.

Implementation of Neurocritical Care Is Associated With Improved Outcomes in Traumatic Brain Injury.

Background Traditionally, the delivery of dedicated neurocritical care (NCC) occurs in distinct NCC units and is associated with improved outcomes. Institution-specific logistical challenges pose barriers to the development of distinct NCC units; therefore, we developed a consultancy NCC service coupled with the implementation of invasive multimodal neuromonitoring, within a medical-surgical intensive care unit. Our objective was to evaluate the effect of a consultancy NCC program on neurologic outcomes in severe traumatic brain injury patients. METHODS: We conducted a single-center quasi-experimental uncontrolled pre- and post-NCC study in severe traumatic brain injury patients (Glasgow Coma Scale ≤8). The NCC program includes consultation with a neurointensivist and neurosurgeon and multimodal neuromonitoring. Demographic, injury severity metrics, neurophysiologic data, and therapeutic interventions were collected. Glasgow Outcome Scale (GOS) at 6 months was the primary outcome. Multivariable ordinal logistic regression was used to model the association between NCC implementation and GOS at 6 months. RESULTS: A total of 113 patients were identified: 76 pre-NCC and 37 post-NCC. Mean age was 39 years (standard deviation [SD], 2) and 87 of 113 (77%) patients were male. Median admission motor score was 3 (interquartile ratio, 1-4). Daily mean arterial pressure was higher (95 mmHg [SD, 10]) versus (88 mmHg [SD, 10], p<0.001) and daily mean core body temperature was lower (36.6°C [SD, 0.90]) versus (37.2°C [SD, 1.0], p=0.001) post-NCC compared with pre-NCC, respectively. Multivariable regression modelling revealed the NCC program was associated with a 2.5 increased odds (odds ratios, 2.5; 95% confidence interval, 1.1-5.3; p=0.022) of improved 6-month GOS. CONCLUSIONS: Implementation of a NCC program is associated with improved 6 month GOS in severe TBI patients.

Risk factors for and prediction of mortality in critically ill medical-surgical patients receiving heparin thromboprophylaxis.

BACKGROUND: Previous studies have suggested that prediction models for mortality should be adjusted for additional risk factors beyond the Acute Physiology and Chronic Health Evaluation (APACHE) score. Our objective was to identify risk factors independent of APACHE II score and construct a prediction model to improve the predictive accuracy for hospital and intensive care unit (ICU) mortality. METHODS: We used data from a multicenter randomized controlled trial (PROTECT, Prophylaxis for Thromboembolism in Critical Care Trial) to build a new prediction model for hospital and ICU mortality. Our primary outcome was all-cause 60-day hospital mortality, and the secondary outcome was all-cause 60-day ICU mortality. RESULTS: We included 3746 critically ill non-trauma medical-surgical patients receiving heparin thromboprophylaxis (43.3 % females) in this study. The new model predicting 60-day hospital mortality incorporated APACHE II score (main effect: hazard ratio (HR) = 0.97 for per-point increase), body mass index (BMI) (main effect: HR = 0.92 for per-point increase), medical admission versus surgical (HR = 1.67), use of inotropes or vasopressors (HR = 1.34), acetylsalicylic acid or clopidogrel (HR = 1.27) and the interaction term between APACHE II score and BMI (HR = 1.002 for per-point increase). This model had a good fit to the data and was well calibrated and internally validated. However, the discriminative ability of the prediction model was unsatisfactory (C index < 0.65). Sensitivity analyses supported the robustness of these findings. Similar results were observed in the new prediction model for 60-day ICU mortality which included APACHE II score, BMI, medical admission and invasive mechanical ventilation. CONCLUSION: Compared with the APACHE II score alone, the new prediction model increases data collection, is more complex but does not substantially improve discriminative ability. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT00182143.

Intensive versus conventional glucose control in critically ill patients with traumatic brain injury: long-term follow-up of a subgroup of patients from the NICE-SUGAR study.

PURPOSE: To compare the effect of intensive versus conventional blood glucose control in patients with traumatic brain injury. METHODS: In a large international randomized trial patients were randomly assigned to a target blood glucose (BG) range of either 4.5-6.0 mmol/L (intensive control) or <10 mmol/L (conventional control). Patients with traumatic brain injury (TBI) were identified at randomization and data were collected to examine the extended Glasgow outcome score (includes mortality) at 24 months. RESULTS: Of the 6104 randomized patients, 391 satisfied diagnostic criteria for TBI; 203 (51.9%) were assigned to intensive and 188 (48.1%) to conventional control; the primary outcome was available for 166 (81.8%) and 149 (79.3%) patients, respectively. The two groups had similar baseline characteristics. At 2 years 98 (58.7%) patients in the intensive group and 79 (53.0%) in the conventional group had a favorable neurological outcome (odds ratio [OR] 1.26, 95% CI 0.81-1.97; P = 0.3); 35 patients (20.9%) in the intensive group and 34 (22.8%) in the conventional group had died (OR 0.90, 95% CI 0.53-1.53; P = 0.7); moderate hypoglycemia (BG 2.3-3.9 mmol/L; 41-70 mg/dL) occurred in 160/202 (79.2%) and 17/188 (9.0%), respectively (OR 38.3, 95% CI 21.0-70.1; P < 0.0001); severe hypoglycemia (BG ≤ 2.2 mmol/L; ≤40 mg/dL) in 10 (4.9%) and 0 (0.0%), respectively (OR 20.5 95% CI 1.2-351.6, P = 0.003). CONCLUSION: Although patients with traumatic brain injury randomly assigned to intensive compared to conventional glucose control experienced moderate and severe hypoglycemia more frequently, we found no significant difference in clinically important outcomes.

Hypoglycemia and risk of death in critically ill patients.

BACKGROUND: Whether hypoglycemia leads to death in critically ill patients is unclear. METHODS: We examined the associations between moderate and severe hypoglycemia (blood glucose, 41 to 70 mg per deciliter [2.3 to 3.9 mmol per liter] and ≤40 mg per deciliter [2.2 mmol per liter], respectively) and death among 6026 critically ill patients in intensive care units (ICUs). Patients were randomly assigned to intensive or conventional glucose control. We used Cox regression analysis with adjustment for treatment assignment and for baseline and postrandomization covariates. RESULTS: Follow-up data were available for 6026 patients: 2714 (45.0%) had moderate hypoglycemia, 2237 of whom (82.4%) were in the intensive-control group (i.e., 74.2% of the 3013 patients in the group), and 223 patients (3.7%) had severe hypoglycemia, 208 of whom (93.3%) were in the intensive-control group (i.e., 6.9% of the patients in this group). Of the 3089 patients who did not have hypoglycemia, 726 (23.5%) died, as compared with 774 of the 2714 with moderate hypoglycemia (28.5%) and 79 of the 223 with severe hypoglycemia (35.4%). The adjusted hazard ratios for death among patients with moderate or severe hypoglycemia, as compared with those without hypoglycemia, were 1.41 (95% confidence interval [CI], 1.21 to 1.62; P<0.001) and 2.10 (95% CI, 1.59 to 2.77; P<0.001), respectively. The association with death was increased among patients who had moderate hypoglycemia on more than 1 day (>1 day vs. 1 day, P=0.01), those who died from distributive (vasodilated) shock (P<0.001), and those who had severe hypoglycemia in the absence of insulin treatment (hazard ratio, 3.84; 95% CI, 2.37 to 6.23; P<0.001). CONCLUSIONS: In critically ill patients, intensive glucose control leads to moderate and severe hypoglycemia, both of which are associated with an increased risk of death. The association exhibits a dose-response relationship and is strongest for death from distributive shock. However, these data cannot prove a causal relationship. (Funded by the Australian National Health and Medical Research Council and others; NICE-SUGAR ClinicalTrials.gov number, NCT00220987.).

Association of hemoglobin concentration and mortality in critically ill patients with severe traumatic brain injury.

INTRODUCTION: The critical care management of traumatic brain injury focuses on preventing secondary ischemic injury. Cerebral oxygen delivery is dependent upon the cerebral perfusion pressure and the oxygen content of blood, which is principally determined by hemoglobin. Despite its importance to the cerebral oxygen delivery, the precise hemoglobin concentration to provide adequate oxygen delivery to injured neuronal tissue in TBI patients is controversial with limited evidence to provide transfusion thresholds. METHODS: We conducted a retrospective cohort study of severe TBI patients, investigating the association between mean 7-day hemoglobin concentration and hospital mortality. Demographic, physiologic, intensive care interventions, clinical outcomes and daily hemoglobin concentrations were recorded for all patients. Patients were all cared for at a tertiary, level 1 trauma center in a mixed medical and surgical intensive unit. Patients were divided into quartiles based on their mean 7-day hemoglobin concentration: < 90 g/L, 90 - 99 g/L, 100 - 109 g/L and > 110 g/L. Multivariable log-binomial regression was used to model the association between mean daily hemoglobin concentration and hospital mortality. RESULTS: Two hundred seventy-three patients with traumatic brain injury were identified and 169 were included in the analysis based on inclusion/exclusion criteria. Of these, 77% of the patients were male, with a mean age of 38 (SD 17) years and a median best GCS of 6 (IQR 5 - 7). One hundred fifteen patients (68%) received a red blood cell (RBC) transfusion. In RBCs administered in the ICU, the median pre-transfusion hemoglobin was 79 g/L (IQR 73 - 85). Thirty-seven patients (22%) died in hospital. Multivariable analysis revealed that mean 7-day hemoglobin concentration < 90 g/L was independently associated with an increased risk of hospital mortality (RR 3.1, 95% CI 1.5 - 6.3, p = 0.03). Other variables associated with increased mortality on multivariable regression were insertion of external ventricular drain, age and decreased GCS. Red blood cell transfusion was not associated with mortality following multivariable adjustment. CONCLUSIONS: A mean 7-day hemoglobin concentration of < 90g/L is associated with increased hospital mortality in patients with severe traumatic brain injury.

Effect of an emergency department sepsis protocol on the care of septic patients admitted to the intensive care unit.

OBJECTIVE: We sought to determine whether the implementation of a sepsis protocol in a Canadian emergency department (ED) improves care for the subset of patients admitted to the intensive care unit (ICU). METHODS: After implementing a sepsis protocol in our ED we used an ICU database and chart review to compare various time-dependent end points and outcomes between a historical control year and the first year after implementation. We re-viewed the charts of all patients admitted to the ICU within 24 hours of ED admission with a primary or other diagnosis of sepsis, severe sepsis or septic shock, who met criteria for early goal-directed therapy within the first 6 hours of their ED stay. RESULTS: We compared 29 patients from the control year with 30 patients from the year after implementation of our sepsis protocol. We found that patients treated during the postintervention year had improvements in time to antibiotics (4.2 v. 1.0 h, difference = -3.2 h, 95% CI -4.8 to -2.0), time to central line placement (above the diaphragm) (11.6 v. 3.2 h, difference = -8.4 h, 95% CI -12.1 to -4.7), time to arterial line placement (7.5 v. 2.3 h, difference = -5.2 h, 95% CI -7.4 to -3.0), and achievement of central venous pressure and central venous oxygen saturation goals (11.1 v. 5.1 h, difference = -6.0 h, 95% CI -11.03 to -1.71, and 13.1 v. 5.5 h, difference = -7.6 h, 95% CI -11.97 to -3.16, respectively). There were no statistically significant differences in ICU length of stay, hospital length of stay or mortality (31.0% v. 20.0%, difference = -11.0%, 95% -33.1% to 11.1%). CONCLUSION: Implementation of an ED sepsis protocol im-proves care for patients with severe sepsis and septic shock.

Effect of early achievement of physiologic resuscitation goals in septic patients admitted from the ward on the kidneys.

PURPOSE: The aim of the study was to evaluate if early achievement of physiologic goals of resuscitation in critically ill septic patients admitted from the ward may prevent acute kidney injury (AKI). MATERIALS AND METHODS: Patients admitted to the intensive care unit (ICU) with a diagnosis of sepsis were retrospectively identified. Mean arterial pressure greater than 65 mm Hg, central venous pressure greater than 8 mm Hg, and central venous oxygenation greater than 70% achieved within 6 hours after ICU consultation at the ward was considered early achievement. Acute kidney injury was defined by the RIFLE criteria. RESULTS: Of 85 patients, 29% achieved all goals within 6 hours, 42% had late or no achievement of goals, and 28% had incomplete documentation of goals. Of these, 52% developed AKI. Patients who eventually developed AKI had a significantly higher creatinine level at ICU consultation before resuscitation. Delay in achievement of goals results in a 3.4% creatinine level rise per hour in multivariate analysis (P = .03). The development of AKI was significantly influenced by delayed achievement of physiologic goals on the ICU (P = .02). CONCLUSIONS: Although most of AKI occurred before ICU consultation, early physiologic resuscitation and achievement of hemodynamic goals on the ICU is associated with a decrease in development of AKI of septic patients admitted from the ward.

External ventricular drains and mortality in patients with severe traumatic brain injury.

PURPOSE: To determine our institutional adherence to the Brain Trauma Foundation guidelines with respect to intracranial pressure (ICP) monitoring, and examine the relationship between external ventricular drain (EVD) use and mortality. MATERIALS & METHODS: Retrospective cohort study of 171 patients with severe traumatic brain injury (TBI). Propensity score adjusted logistic regression was used to model the association between EVD use and mortality. RESULTS: EVDs were inserted in 98 of 171 patients. Of the 73 patients without an EVD, 63 (86%) would have qualified for ICP monitoring under the current guidelines. EVDs were in situ for a median of 8 days (SD 6). In adjusted analyses, EVD use was associated with hospital mortality (OR 2.8, 95% CI: 1.1 - 7.1, p = 0.04) and 28-day mortality (OR 2.1, 95% CI: 0.80 - 5.6, p = 0.13). We observed significant modification of the association between EVD and 28-day mortality by GCS within 12 hours (p-interaction = 0.04), indicating strong association only among those patients with GCS score of at least 6 (OR 5.0, 95% CI: 1.5 - 16.7, p < 0.01). CONCLUSIONS: The association of EVD with 28-day mortality was only apparent among patients with GCS score of > or = 6. Further research is warranted to further refine which patients may benefit from ICP monitoring.

The efficacy and safety of glucose control algorithms in intensive care: a pilot study of the Survival Using Glucose Algorithm Regulation (SUGAR) trial.

INTRODUCTION: The benefits, harms and feasibility of intensive insulin therapy in critically ill patients remain unclear. Several single center studies have attempted to demonstrate the benefit of intensive insulin therapy in critically ill patients with variable results. OBJECTIVES: We conducted a pilot randomized trial to assess the feasibility, safety and clinical outcomes of preprinted glucose management algorithms before the initiation of a large multicenter trial. PATIENTS AND METHODS: Within 48 hours of admission to the intensive care unit, we randomized mechanically ventilated patients to either the "high" group (target serum glucose concentration 9-11 mmol/l) or the "low" group (target serum glucose concentration 5-7 mmol/l). To assess feasibility we measured the time to reach target glucose range, time in target range, morning glucose concentrations, average daily glucose concentrations, and number of crossovers. To assess safety, we measured the number of hypoglycemic events (serum glucose <2.2 mmol/l), and other serious adverse events such as cardiac arrests and seizures. RESULTS: Sixty-eight patients were enrolled (35 in the high group and 33 in the low group). During the first week, the median proportions of time spent in the target range were 35.7% and 53.0% for the high and low groups, respectlively (p = 0.0001). Morning glucose concentrations were 8.3 +/-1.6 mmol/l and 6.2 -/+1.2 mmol/l. One (2.9%) and 8 (24.2%) episodes of hypoglycemia (<2.2 mmol/l) occurred in the high and low groups, reflecting 0.002 and 0.03 hypoglycemic events per patient-day, respectlively. CONCLUSIONS: This pilot trial of intensive insulin therapy identified numerous challenges that helped in the preparation of an international multicenter randomized trial of intensive insulin therapy to evaluate benefits and harms.

Effect of ambient workload in the intensive care unit on mortality and time to discharge alive.

The purpose of this study was to determine the relationship between ambient workload and outcomes of patients in the intensive care unit (ICU). Measures of workload evaluated for each patient on each day of ICU admission were the number of new admissions, ICU census, "code blue" patients not admitted and Acute Physiology and Chronic Health Evaluation (APACHE) II scores and Multiple Organ Dysfunction Scores (MODSs) for admitted patients. Patients were defined as the patient at risk (the "index" patient) and the other patients in the ICU at the same time (the "non-index" patients). Logistic regression (for hospital mortality) and Cox proportional hazards regression (for time to discharge alive) were used to investigate the association between workload and outcomes. In total, 1,705 patients were included. Higher MODSs of non-index patients on the last day of the ICU admission were associated with lower mortality (odds ratio [OR] 0.82 per MODS point, 95% CI 0.72-0.94). A higher number of code blues during the ICU stay was associated with higher mortality (OR 1.18 per event, 95% CI 1.01-1.37). A higher ICU census and MODS of the non-index patients on the day of ICU admission were associated with a shorter time to discharge alive (hazard rate [HR] 1.03 per patient, 95% CI: 1.01-1.06, and 1.07 per MODS point, 95% CI:1.01-1.15, respectively).The association between measures of ambient workload in the ICU and patient outcomes is variable.Future resource planning and studies of patient safety would benefit from a prospective analysis of these factors to define workload limits and tolerances.

Glucose control and mortality in patients with severe traumatic brain injury.

INTRODUCTION: The optimal glucose range in patients with severe traumatic brain injury (TBI) remains unclear. The goal of this study was to examine the association of serum glucose levels on mortality in patients with severe TBI. As a secondary endpoint, we determined the risk of hyperglycemic and hypoglycemic events, and their association with mortality. METHODS: We conducted a retrospective cohort study of patients admitted to the ICU between May 2000 and March 2006 with severe TBI (Glasgow Coma Scale ≤ 8) who survived at least 12 h. Average daily morning glucose levels for the first 10 days of admission were calculated and divided into quintiles. RESULTS: A total of 170 patients were included in the analysis. We found no association between quintiles of mean daily morning glucose and hospital mortality. Episodes of hyperglycemia ( ≥ 11.1 mmol/l or 200 mg/dl) during the first 10 days occurred in 65% of patients (5.4% of all glucose measurements). Using multivariable regression, a single episode of hyperglycemia was associated with 3.6-fold increased risk of hospital mortality (95%CI: 1.2-11.2, P = 0.02). Hypoglycemia ( ≤ 4.4 mmol/l or 80 mg/dl) was present in 48% of patients (4.3% of all glucose measurements), and was not associated with mortality. CONCLUSION: Any episode of hyperglycemia ( ≥ 11.1 mmol/l or 200 mg/dl) was associated with 3.6-fold increased risk of hospital mortality in patients with severe TBI and thus, should be avoided. Maintaining serum glucose ≤ 10 mmol/l appears to be a reasonable balance to avoid extremes of glucose control, but further studies are needed to determine the optimal glucose range.

Intensive versus conventional glucose control in critically ill patients.

BACKGROUND: The optimal target range for blood glucose in critically ill patients remains unclear. METHODS: Within 24 hours after admission to an intensive care unit (ICU), adults who were expected to require treatment in the ICU on 3 or more consecutive days were randomly assigned to undergo either intensive glucose control, with a target blood glucose range of 81 to 108 mg per deciliter (4.5 to 6.0 mmol per liter), or conventional glucose control, with a target of 180 mg or less per deciliter (10.0 mmol or less per liter). We defined the primary end point as death from any cause within 90 days after randomization. RESULTS: Of the 6104 patients who underwent randomization, 3054 were assigned to undergo intensive control and 3050 to undergo conventional control; data with regard to the primary outcome at day 90 were available for 3010 and 3012 patients, respectively. The two groups had similar characteristics at baseline. A total of 829 patients (27.5%) in the intensive-control group and 751 (24.9%) in the conventional-control group died (odds ratio for intensive control, 1.14; 95% confidence interval, 1.02 to 1.28; P=0.02). The treatment effect did not differ significantly between operative (surgical) patients and nonoperative (medical) patients (odds ratio for death in the intensive-control group, 1.31 and 1.07, respectively; P=0.10). Severe hypoglycemia (blood glucose level, < or = 40 mg per deciliter [2.2 mmol per liter]) was reported in 206 of 3016 patients (6.8%) in the intensive-control group and 15 of 3014 (0.5%) in the conventional-control group (P<0.001). There was no significant difference between the two treatment groups in the median number of days in the ICU (P=0.84) or hospital (P=0.86) or the median number of days of mechanical ventilation (P=0.56) or renal-replacement therapy (P=0.39). CONCLUSIONS: In this large, international, randomized trial, we found that intensive glucose control increased mortality among adults in the ICU: a blood glucose target of 180 mg or less per deciliter resulted in lower mortality than did a target of 81 to 108 mg per deciliter. (ClinicalTrials.gov number, NCT00220987.)

Intensive insulin therapy and mortality among critically ill patients: a meta-analysis including NICE-SUGAR study data.

BACKGROUND: Hyperglycemia is associated with increased mortality in critically ill patients. Randomized trials of intensive insulin therapy have reported inconsistent effects on mortality and increased rates of severe hypoglycemia. We conducted a meta-analysis to update the totality of evidence regarding the influence of intensive insulin therapy compared with conventional insulin therapy on mortality and severe hypoglycemia in the intensive care unit (ICU). METHODS: We conducted searches of electronic databases, abstracts from scientific conferences and bibliographies of relevant articles. We included published randomized controlled trials conducted in the ICU that directly compared intensive insulin therapy with conventional glucose management and that documented mortality. We included in our meta-analysis the data from the recent NICE-SUGAR (Normoglycemia in Intensive Care Evaluation - Survival Using Glucose Algorithm Regulation) study. RESULTS: We included 26 trials involving a total of 13 567 patients in our meta-analysis. Among the 26 trials that reported mortality, the pooled relative risk (RR) of death with intensive insulin therapy compared with conventional therapy was 0.93 (95% confidence interval [CI] 0.83-1.04). Among the 14 trials that reported hypoglycemia, the pooled RR with intensive insulin therapy was 6.0 (95% CI 4.5-8.0). The ICU setting was a contributing factor, with patients in surgical ICUs appearing to benefit from intensive insulin therapy (RR 0.63, 95% CI 0.44-0.91); patients in the other ICU settings did not (medical ICU: RR 1.0, 95% CI 0.78-1.28; mixed ICU: RR 0.99, 95% CI 0.86-1.12). The different targets of intensive insulin therapy (glucose level < or = 6.1 mmol/L v. < or = 8.3 mmol/L) did not influence either mortality or risk of hypoglycemia. INTERPRETATION: Intensive insulin therapy significantly increased the risk of hypoglycemia and conferred no overall mortality benefit among critically ill patients. However, this therapy may be beneficial to patients admitted to a surgical ICU.