Pro/Con debate: Should 24/7 in-house intensivist coverage be implemented?

You are appointed director of a new large multi-discipline intensive care unit in an academic center. The hospital is affiliated with a medical school and as such there will be an adequate number of medical students, residents, and fellows (specializing in critical care) rotating through the unit. The unit will be a 'closed' (intensivist-led) model. In setting up the call schedule for the intensivists, you need to decide whether the mandate will be for the intensivists to provide 24/7 in-house coverage as opposed to off-hour coverage from home. You wonder about the sustainability of each model

Critical care management of severe traumatic brain injury in adults

Traumatic brain injury (TBI) is a major medical and socio-economic problem, and is the leading cause of death in children and young adults. The critical care management of severe TBI is largely derived from the "Guidelines for the Management of Severe Traumatic Brain Injury" that have been published by the Brain Trauma Foundation. The main objectives are prevention and treatment of intracranial hypertension and secondary brain insults, preservation of cerebral perfusion pressure (CPP), and optimization of cerebral oxygenation. In this review, the critical care management of severe TBI will be discussed with focus on monitoring, avoidance and minimization of secondary brain insults, and optimization of cerebral oxygenation and CPP

Assessment of six mortality prediction models in patients admitted with severe sepsis and septic shock to the intensive care unit: a prospective cohort study

INTRODUCTION: We conducted the present study to assess the validity of mortality prediction systems in patients admitted to the intensive care unit (ICU) with severe sepsis and septic shock. We included Acute Physiology and Health Evaluation (APACHE) II, Simplified Acute Physiology Score (SAPS) II, Mortality Probability Model (MPM) II(0 )and MPM II(24 )in our evaluation. In addition, SAPS II and MPM II(24 )were customized for septic patients in a previous study, and the customized versions were included in this evaluation. MATERIALS AND METHOD: This cohort, prospective, observational study was conducted in a tertiary care medical/surgical ICU. Consecutive patients meeting the diagnostic criteria for severe sepsis and septic shock during the first 24 hours of ICU admission between March 1999 and August 2001 were included. The data necessary for mortality prediction were collected prospectively as part of the ongoing ICU database. Predicted and actual mortality rates, and standardized mortality ratio were calculated. Calibration was assessed using Lemeshow–Hosmer goodness of fit C-statistic. Discrimination was assessed using receiver operating characteristic curves. RESULTS: The overall mortality prediction was adequate for all six systems because none of the standardized mortality ratios differed significantly from 1. Calibration was inadequate for APACHE II, SAPS II, MPM II(0 )and MPM II(24). However, the customized version of SAPS II exhibited significantly improved calibration (C-statistic for SAPS II 23.6 [P = 0.003] and for customized SAPS II 11.5 [P = 0.18]). Discrimination was best for customized MPM II(24 )(area under the receiver operating characteristic curve 0.826), followed by MPM II(24 )and customized SAPS II. CONCLUSION: Although general ICU mortality system models had accurate overall mortality prediction, they had poor calibration. Customization of SAPS II and, to a lesser extent, MPM II(24 )improved calibration. The customized model may be a useful tool when evaluating outcomes in patients with sepsis

COVID-19 research in critical care: the good, the bad, and the ugly

The extraordinary pace of research on coronavirus disease 2019 (COVID-19) has been one of the major success stories of the pandemic. Therapeutic trials involving thousands of patients, which usually take years to complete, have been reported in a matter of months. National and international registries and networks have reported on tens of thousands of patients in near real time. However, there have also been many challenges: hundreds of trials have been underpowered, duplicated, or of poor quality; excessive bureaucracy has complicated study initiation; and only a small percentage of eligible patients worldwide have been enrolled in studies, while many others have been treated with off-label, unproven therapies. All of this has been complicated by an “infodemic” of low-quality medical information, accelerated by social media.info:eu-repo/semantics/publishedVersio

Infection with Middle East respiratory syndrome coronavirus

The Middle East respiratory syndrome coronavirus (MERS-CoV) was first recognized as a new febrile respiratory illness in Saudi Arabia in June 2012. As of September 21, 2015, the WHO reported 1569 laboratory-confirmed cases, including at least 554 related deaths. Cases have been reported in 26 countries; however, the majority of cases have occurred in Saudi Arabia (79%) and South Korea (13%

External validation of a modified model of Acute Physiology and Chronic Health Evaluation (APACHE) II for orthotopic liver transplant patients

INTRODUCTION: The purpose of the study was to validate the newly derived postoperative orthotopic liver transplantation (OLTX)-specific diagnostic weight for the Acute Physiology and Chronic Health Evaluation (APACHE) II mortality prediction system in independent databases. METHODS: Medical records of 174 liver transplantation patients admitted postoperatively to the adult intensive care units at King Fahad National Guard Hospital and the University of Wisconsin were reviewed, and data on age, sex, the underlying liver disease, APACHE II scores and the hospital outcome were collected. Predicted mortality was calculated using: 1) the original APACHE II diagnostic weight of postoperative other gastrointestinal surgery and 2) the newly derived OLTX-specific diagnostic category weight. Standardized mortality ratio and 95% confidence intervals were calculated. Calibration was evaluated with the Hosmer–Lemeshow goodness-of-fit C-statistic. Discrimination was tested by 2 × 2 classification matrices and by computing the areas under the receiver operating characteristic curves. Patient characteristics and outcome data were compared between the two hospitals. RESULTS: APACHE II significantly overestimated mortality when the original diagnostic weight was used, but provided a closer estimate of mortality with the OTLX-specific diagnostic weight. The C-statistic analysis showed better calibration for the new approach; discrimination was also improved. The performances of the prediction systems were similar in the two hospitals. The new model provided more accurate estimates of hospital mortality in each hospital. DISCUSSION: APACHE II provided an accurate estimate of mortality in liver transplant patients when the OLTX-specific diagnostic weight was used. With the new model, APACHE II can be used as a valid mortality prediction system in this group of patients

The incidence of venous thromboembolism and practice of deep venous thrombosis prophylaxis in hospitalized cirrhotic patients

<p>Abstract</p> <p>Background</p> <p>Cirrhotic patients are characterized by a decreased synthesis of coagulation and anticoagulation factors. The coagulopathy of cirrhotic patients is considered to be auto-anticoagulation. Our aim was to determine the incidence and predictors of venous thromboembolism (VTE) and examine the practice of deep venous thrombosis (DVT) prophylaxis among hospitalized cirrhotic patients.</p> <p>Methods</p> <p>A retrospective cohort study was performed in a tertiary teaching hospital. We included all adult patients admitted to the hospital with a diagnosis of liver cirrhosis from January 1, 2009 to December 31, 2009. We grouped our cohort patients in two groups, cirrhotic patients without VTE and cirrhotic with VTE.</p> <p>Results</p> <p>Over one year, we included 226 cirrhotic patients, and the characteristics of both groups were similar regarding their clinical and laboratory parameters and their outcomes. Six patients (2.7%) developed VTE, and all of the VTEs were DVT. Hepatitis C was the most common (51%) underlying cause of liver cirrhosis, followed by hepatitis B (22%); 76% of the cirrhotic patients received neither pharmacological nor mechanical DVT prophylaxis.</p> <p>Conclusion</p> <p>Cirrhotic patients are at risk for developing VTE. The utilization of DVT prophylaxis was suboptimal.</p