Posterior Circulation Stroke: Animal Models and Mechanism of Disease

Posterior circulation stroke refers to the vascular occlusion or bleeding, arising from the vertebrobasilar vasculature of the brain. Clinical studies show that individuals who experience posterior circulation stroke will develop significant brain injury, neurologic dysfunction, or death. Yet the therapeutic needs of this patient subpopulation remain largely unknown. Thus understanding the causative factors and the pathogenesis of brain damage is important, if posterior circulation stroke is to be prevented or treated. Appropriate animal models are necessary to achieve this understanding. This paper critically integrates the neurovascular and pathophysiological features gleaned from posterior circulation stroke animal models into clinical correlations

Age- and Sex-Specific In-Hospital Mortality after Myocardial Infarction in Routine Clinical Practice

Background. Literature regarding the influence of age/sex on mortality trends for acute myocardial infarction (AMI) hospitalizations is limited to hospitals participating in voluntary AMI registries. Objective. Evaluate the impact of age and sex on in-hospital AMI mortality using a nationally representative hospital sample. Methods. Secondary data analysis using AMI hospitalizations identified from the Nationwide-Inpatient-Sample (NIS). Descriptive and Cox proportional hazards analysis explored mortality trends by age and sex from 1997–2006 while adjusting for the influence of, demographics, co-morbidity, length of hospital stay and hospital characteristics. Results. From 1997–2006, in-hospital AMI mortality rates decreased across time in all subgroups (P < .001), except for males aged <55 years. The greatest decline was observed in females aged <55 years, compared to similarly aged males, mortality outcomes were poorer in 1997-1998 (RR 1.47, 95% CI  =  1.30–1.66), when compared with 2005-2006 (RR 1.03, 95% CI  =  0.90–1.18), adjusted P value for trend demonstrated a statistically significant decline in the relative AMI mortality risk for females when compared with males (<0.001). Conclusion. Over the last decade, in-hospital AMI mortality rates declined for every age/sex group except males <55 years. While AMI female-male mortality disparity has narrowed, some room for improvement remains

Renal Dysfunction, Metabolic Syndrome and Cardiovascular Disease Mortality

Background. Renal disease is commonly described as a complication of metabolic syndrome (MetS) but some recent studies suggest that Chronic Kidney disease (CKD) may actually antecede MetS. Few studies have explored the predictive utility of co-clustering CKD with MetS for cardiovascular disease (CVD) mortality. Methods. Data from a nationally representative sample of United States adults (NHANES) was utilized. A sample of 13115 non-pregnant individuals aged ≥35 years, with available follow-up mortality assessment was selected. Multivariable Cox Proportional hazard regression analysis techniques explored the relationship between co-clustered CKD, MetS and CVD mortality. Bayesian analysis techniques tested the predictive accuracy for CVD Mortality of two models using co-clustered MetS and CKD and MetS alone. Results. Co-clustering early and late CKD respectively resulted in statistically significant higher hazard for CVD mortality (HR = 1.80, CI = 1.45–2.23, and HR = 3.23, CI = 2.56–3.70) when compared with individuals with no MetS and no CKD. A model with early CKD and MetS has a higher predictive accuracy (72.0% versus 67.6%), area under the ROC (0.74 versus 0.66), and Cohen's kappa (0.38 versus 0.21) than that with MetS alone. Conclusion. The study findings suggest that the co-clustering of early CKD with MetS increases the accuracy of risk prediction for CVD mortality

Depression symptomatology and diagnosis: discordance between patients and physicians in primary care settings

<p>Abstract</p> <p>Background</p> <p>To examine the agreement between depression symptoms using an assessment tool (PHQ-9), and physician documentation of the same symptoms during a clinic visit, and then to examine how the presence of these symptoms affects depression diagnosis in primary care settings.</p> <p>Methods</p> <p>Interviewer administered surveys and medical record reviews. A total of 304 participants were recruited from 2321 participants screened for depression at two large urban primary care community settings.</p> <p>Results</p> <p>Of the 2321 participants screened for depression 304 were positive for depression and of these 75.3% (n = 229) were significantly depressed (PHQ-9 score ≥ 10). Of these, 31.0% were diagnosed by a physician with a depressive disorder. A total of 57.6% (n = 175) of study participants had both significant depression symptoms and functional impairment. Of these 37.7% were diagnosed by physicians as depressed. Cohen's Kappa analysis, used to determine the agreement between depression symptoms elicited using the PHQ-9 and physician documentation of these symptoms showed only slight agreement (0.001–0.101) for all depression symptoms using standard agreement rating scales. Further analysis showed that only suicidal ideation and hypersomnia or insomnia were associated with an increased likelihood of physician depression diagnosis (OR 5.41 P sig < .01 and (OR 2.02 P sig < .05 respectively). Other depression symptoms and chronic medical conditions had no affect on physician depression diagnosis.</p> <p>Conclusion</p> <p>Two-thirds of individuals with depression are undiagnosed in primary care settings. While functional impairment increases the rate of physician diagnosis of depression, the agreement between a structured assessment and physician elicited and or documented symptoms during a clinical encounter is very low. Suicidality, hypersomnia and insomnia are associated with an increase in the rate of depression diagnosis even when physician and self report of the symptom differ. Interventions that emphasize the use of routine structured screening of primary care patients might also improve the rate of diagnosis of depression in these settings. Further studies are needed to explore depression symptom assessment during physician patient encounter in primary care settings.</p

Cuff leak test and laryngeal survey for predicting post-extubation stridor

Background and Aims: Evidence for the predictive value of the cuff leak test (CLT) for post-extubation stridor (PES) is conflicting. We evaluated the association and accuracy of CLT alone or combined with other laryngeal parameters with PES. Methods: Fifty-one mechanically ventilated adult patients in a medical-surgical intensive care unit were tested prior to extubation using; CLT, laryngeal ultrasound and indirect laryngoscopy. Biometric, laryngeal and endotracheal tube (ETT) parameters were recorded. Results: PES incidence was 4%. CLT demonstrated ′no leak′ in 20% of patients. Laryngeal oedema was present in 10% of the patients on indirect laryngoscopy, and 71% of the patients had a Grades 1-3 indirect laryngoscopic view. Mean air column width on laryngeal ultrasound was 0.66 ± 0.15 cm (cuff deflated), mean ratio of ETT to laryngeal diameter was 0.48 ± 0.07, and the calculated CLT and laryngeal survey composite was 0.86 ± 1.25 (range 0-5). CLT and the CLT and Laryngeal survey composite measure were not associated with or predict PES. Age, sex, peri-extubation steroid use, intubation duration and body mass index were not associated with PES. Conclusion: Even including ultrasonographic and indirect laryngoscopic examination of the airway, no single aspect of the CLT or combination with laryngeal parameters accurately predicts PES

Trends and racial disparity in primary pressure ulcer hospitalizations outcomes in the US from 2005 to 2014

In the United States (US), pressure ulcers affect ≤3 million people and costs exceed 26.8 billion US dollars in spending. To examine trends in primary pressure ulcer (PPU) hospitalization mortality, length of hospital stay (LOS), and inflation-adjusted charges (IAC) in the US from 2005 to 2014 by race/ethnicity. We secondarily examined the relationship between race/ethnicity with PPU mortality, LOS, and IAC with race/ethnicity. This cross-sectional study used Nationwide Inpatient Sample (NIS) data from 2005 to 2014. The study sample included all hospitalizations with the designated ICD-9-CM code of 707.20-25 (pressure ulcer). There was a notable decline in PPU hospitalization from 11.5% to 7.77 % between 2005 and 2014. The mean mortality decreased from 2.32% to 1.12% (P &lt; .001), the mean LOS declined from 9.39 days (P &lt; .001), and the mean IAC per hospitalization decreased from $30,935 to$29,432 (P &lt; .001). Positive changes observed in mortality, LOS, and IAC trends were consistent across different racial and ethnic groups. The results of multivariable logistic and linear regression analyses revealed that Black patients (β = 0.68, 95% CI 0.36-1.01, P &lt; .001) and patients belonging to the Other race/ethnic category (β = 0.93, 95% CI 0.18-1.69) had longer hospital stays compared to their White counterparts. Regarding IAC, Black patients (β = 2846, 95% CI 1254-4439, P &lt; .005), Hispanic patients (β = 6527, 95% CI 4925-8130), and patients from the Other race/ethnic category (β = 3473, 95% CI 1771-5174) had higher IAC for PPU treatment compared to their White counterparts. PPU hospitalization discharges, as well as hospitalization mortality, LOS, and IAC, decreased during the study period, however, our findings revealed disparities in PPU outcomes among different racial/ethnic groups. Implications of the findings are discussed