Alternative Cardiac Point-of-Care Ultrasound Views.

Point of care ultrasound (POCUS) and critical care echocardiography (CCE) is increasingly being used in intensive care units (ICUs). POCUS and CCE may be limited in some ICU patients because of inadequate information from standard echocardiographic windows. At the same time, data from POCUS and CCE in ICU may be critical to managing patients with cardiorespiratory failure. Alternative echocardiographic views done at the bedside by ICU practitioners may yield additional information or replace the missing data from the standard views. Information obtained from multiple echocardiographic views should be integrated and interpreted within the patient's other clinical information.

Cardiac Dysfunction in Adult Patients with Traumatic Brain Injury: A Prospective Cohort Study.

BACKGROUND: There are limited data regarding the development of myocardial dysfunction after a traumatic brain injury (TBI). We investigated incidence, risk factors, and prognostic importance of cardiac dysfunction in adult patients admitted to the intensive care unit (ICU) after a moderate to severe TBI. METHODS: Prospective observational study of consecutive patients admitted to neuro-trauma ICU with moderate to severe TBI from August 2014 to June 2015. RESULTS: A total of 46 patients were included. Patients' mean (±SD) age was 44.7 (±20.7) years and mean Glasgow Coma Scale value was 5.6 (±3). Motor vehicle accident was the most common mechanism of TBI, with subdural and subarachnoid hemorrhages as the most common pathologies. Cardiac dysfunction developed in 6 of 46 (13%) patients. Patients with cardiac dysfunction had higher prevalence of diabetes mellitus (50% vs. 10%, P = 0.03) and higher proportion of electrocardiogram abnormalities (83% vs. 27%, P = 0.02) compared to the patients without cardiac dysfunction. Mean Glasgow Coma Scale scores were not significantly different between patients who developed cardiac dysfunction from those who did not (5.5 vs. 5.6, P = 0.95). Requirement for vasopressor support (33.3% vs. 40%, P = 1.0) and median ventilator days (5.2 vs. 4.7, P = 0.9) were similar between patients with and without cardiac dysfunction. There were no significant differences in hospital lengths of stay (12.3 vs. 13.8 days, P = 0.34) and hospital mortality (33% vs. 17.5%, P = 0.58) between the two groups. CONCLUSIONS: Cardiac dysfunction occurs in patients after moderate to severe TBI, with mild to moderate reduction in left ventricular ejection fraction. Patients who developed cardiac dysfunction after TBI had a higher prevalence of diabetes mellitus and higher proportion of abnormalities in electrocardiograms. Development of cardiac dysfunction was not associated with adverse clinical outcomes.

Bedside Ultrasound in the Intensive Care Unit: Where Is the Evidence?

Interest in bedside ultrasound in the intensive care unit and emergency department has exploded in recent years. This interest is driven in part by the utility of ultrasound for procedural guidance. In most cases, enthusiasm outstrips current evidence. While ultrasound is often felt to be risk-free, the important risk of ultrasound is the chance of false diagnosis. The vividness of visual images may make practitioners especially prone to cognitive errors in interpretation. Possible applications of ultrasound include management of shock and respiratory failure, two complex syndromes with multiple aspects. Reasonable evidence supports use of ultrasound to guide volume expansion, although its value remains to be demonstrated in an explicit protocol. Other possibilities include ventilator titration and guidance of diuresis. While the literature is more complicated, there is some early evidence that lung ultrasound may improve the diagnosis of dyspnea, although these results have not been well validated. Centers should avoid premature loss of equipoise and participate in studies of explicit protocols that incorporate ultrasound.

Placement of intracranial pressure monitors by neurointensivists: case series and a systematic review.

PRIMARY OBJECTIVE: Placement of an intracranial pressure (ICP) monitor to guide the management of patients with severe traumatic brain injury (TBI) has been historically performed by neurosurgeons. It is hypothesized that ICP monitors can be placed by non-surgeon neurointensivists, with placement success and complication rates comparable to neurosurgeons. RESEARCH DESIGN: Retrospective review and systematic review of the literature. METHODS AND PROCEDURES: This study reviewed the medical records of patients with TBI who required insertion of parenchymal ICP monitors performed by four neurointensivists in a large level I trauma centre. Patient data recorded were age, gender, CT findings, ICP monitor placement, location and length of placement, complications related to the ICP monitor and patient outcomes. MAIN OUTCOMES AND RESULTS: Thirty-eight (38) monitors (Camino) were placed. Patients' average age was 43.0 years (SD = 21.6); 76% were males. The location of monitor was right frontal in 89% and left frontal in 11%. Mean ICP was 24 (SD = 15), duration of ICP monitor was 4.9 days (SD = 3.6). All monitors were placed successfully. There were no major technical complications, no episodes of major catheter-induced intracranial haemorrhage and no infectious complications. These findings were comparable to published outcomes from neurosurgeon placements. CONCLUSIONS: It is believed that insertion of ICP monitors by neurointensivists is safe and may aid in providing prompt monitoring of patients with severe TBI.

Comparison of Cox and Gray's survival models in severe sepsis.

BACKGROUND: Although survival is traditionally modeled using Cox proportional hazards modeling, this approach may be inappropriate in sepsis, in which the proportional hazards assumption does not hold. Newer, more flexible models, such as Gray's model, may be more appropriate. OBJECTIVES: To construct and compare Gray's model and two different Cox models in a large sepsis cohort. To determine whether hazards for death after sepsis were nonproportional. To explore how well the different survival modeling approaches describe these data. DESIGN: Analysis of combined data from the treatment and placebo arms of a large, negative, sepsis trial. SETTING: Intensive care units at 136 U.S. medical centers. SUBJECTS: A total of 1090 adults aged 18 yrs or older with signs and symptoms of severe sepsis and documented or probable Gram-negative infection. MEASUREMENTS: We considered 27 potential baseline risk factors and modeled survival over the 28 days after the onset of sepsis. We tested proportionality in single-variable Cox analysis using Schoenfeld residuals and log-log plots. We constructed a traditional multivariable Cox model, a multivariable Cox model with time-varying covariates, and a multivariable Gray's model. RESULTS: In single-variable analyses, 20 of the 27 potential factors were significantly associated with mortality, and 10 of 20 had nonproportional hazards. In multivariate analysis, all three models retained a very similar set of significant covariates (two models retained the identical set of nine variables, and the third differed only in that it retained the same nine plus a tenth variable). Four of the nine common covariates had nonproportional hazards. Of the three models, Gray's model best captured these changing hazard ratios over time. CONCLUSION: We confirm that many of the important predictors of mortality in severe sepsis are nonproportional and find that Gray's model seems best suited for modeling survival in this condition.

Pneumonia: still the old man's friend?

BACKGROUND: Hospital mortality of patients admitted with community-acquired pneumonia (CAP) has been well described. However, the long-term survival of those discharged alive is less clear. We sought to determine long-term survival of patients hospitalized with CAP and compare the outcome with controls hospitalized for reasons other than CAP. METHODS: We performed a matched case-control analysis using the Medicare hospital discharge database from the first quarter of 1997. We compared all Medicare recipients 65 years or older hospitalized with CAP and controls matched for age, sex, and race hospitalized for reasons other than CAP. We measured 1-year mortality determined from the Medicare Beneficiary Entitlement file and the Social Security Administration. RESULTS: We identified 158 960 CAP patients and 794 333 hospitalized controls. Hospital mortality rates for the CAP cohort and hospitalized controls were 11.0% and 5.5%, respectively (P<.001). One-year mortality rates for the CAP cohort and hospitalized controls were 40.9% and 29.1%, respectively (P<.001). One-year mortality rates in hospital survivors of the CAP and control cohorts were 33.6% and 24.9%, respectively (P<.001). The difference in mortality between the CAP and control cohorts was not explained by underlying disease. Standardized against the general population, the risk of death for both cohorts decreased monthly but was still elevated 1 year after hospital discharge. The standardized mortality ratio was 2.69 (95% confidence interval, 2.47-2.93) for CAP patients and 1.93 (95% confidence interval, 1.79-2.08) for hospital controls. CONCLUSIONS: Almost half of all elderly patients admitted for CAP die in the subsequent year, with most deaths occurring after hospital discharge. The mortality is considerably higher than that of either the general population or a control population hospitalized for reasons other than CAP.