1%. The median time necessary for PCTs to confirm a screening ECG was 2.8 min (IQR 2,4) with attending physicians interrupted an average of 14.6 times per day.
 
  Screening of triage ECGs is time-intensive and compounds the frequency of physician interruptions. Although findings are not generalizable, the impact of these interruptions on patient care and safety is paramount and universal. Future directions include validating the reliability of "Normal" and "Otherwise Normal" ECG automated readings to obviate the need to interrupt ED physician for expedited screening confirmation.
 Screening of triage ECGs is time-intensive and compounds the frequency of physician interruptions. Although findings are not generalizable, the impact of these interruptions on patient care and safety is paramount and universal. Future directions include validating the reliability of "Normal" and "Otherwise Normal" ECG automated readings to obviate the need to interrupt ED physician for expedited screening confirmation.
  To evaluate whether delay between the first and second antibiotic administered for suspected sepsis is associated with hospital mortality.
 
  Retrospective cohort.
 
  Twelve hospitals in Southeastern United States from 2014 to 2017.
 
  25,717 adults with suspected sepsis presenting to 12 Emergency Departments who received at least two antibiotics within 12h.
 
  The primary exposure was first-to-second antibiotic delay >1h. We used generalized linear mixed models to model the association between first-to-second antibiotic delay and hospital death in the overall cohort, and in subgroups of patients with and without septic shock. Overall, 13,852 (54%) patients had first-to-second antibiotic delay >1h and 1666 (7%) died. Adjusting for other risk factors, first-to-second antibiotic delay was associated with increased risk of hospital death in the subgroup of patients with septic shock (OR 1.34; 95% CI 1.05-1.70), but not among patients without shock (OR 0.99; 95% CI 0.88-1.12) or in the overall cohort (OR 1.08; 95% CI 0.97-1.20).
 
  First-to-second antibiotic delay of greater than one hour was associated with an increased risk of hospital death among patients meeting criteria for septic shock but not all patients with suspected sepsis. Tracking and improving first-to-second antibiotic delays may be considered in septic shock.
 First-to-second antibiotic delay of greater than one hour was associated with an increased risk of hospital death among patients meeting criteria for septic shock but not all patients with suspected sepsis. Tracking and improving first-to-second antibiotic delays may be considered in septic shock.
  Symptoms of COVID-19 vary in severity and presentation. When admitting patients to the hospital, it is desirable to isolate patients with COVID-19 from those without the disease. However, reliably identifying patients with COVID-19 in the emergency department before hospital admission is often limited by the speed and availability of testing. Previous studies determined a low lymphocyte count is commonly found in patients with COVID-19. We sought to explore the sensitivity of absolute lymphocyte count in patients presenting to the emergency department requiring subsequent hospitalization who were found to have COVID-19.
 
  A retrospective chart review was performed on 312 patients with laboratory-confirmed COVID-19 who were admitted to the hospital from the emergency department. The absolute lymphocyte count for these patients was used to calculate sensitivities at various cut-off values. The relationships between absolute lymphocyte count and variables, including age, sex, need for intubation, and mortality, were also explored.
 
  Cut-off values for absolute lymphocyte count ranged from 1.1K/uL to 2.0K/uL, with sensitivities of 72% and 94%, respectively.  https://www.selleckchem.com/products/baf312-siponimod.html  Additionally, lower mean absolute lymphocyte counts were identified in males, patients who required intubation, and patients who died.
 
  Knowing the sensitivity of absolute lymphocyte count in patients with COVID-19 may help identify patients who are unlikely to have the disease. Additionally, absolute lymphocyte count can be used as a marker of disease severity in patients with COVID-19.
 Knowing the sensitivity of absolute lymphocyte count in patients with COVID-19 may help identify patients who are unlikely to have the disease. Additionally, absolute lymphocyte count can be used as a marker of disease severity in patients with COVID-19.
  Pathological processes in Huntington's disease (HD) begin many years prior to symptom onset. Recently we demonstrated that in a premanifest cohort approximately 24 years from predicted disease onset, despite intact function, there was evidence of subtle neurodegeneration. Here, we use novel imaging techniques to determine whether macro- and micro-structural changes can be detected across the whole-brain in the same cohort.
 
  62 premanifest HD (PreHD) and 61 controls from the HD Young Adult Study (HD-YAS) were included. Grey and white matter volume, diffusion weighted imaging (DWI) measures of white matter microstructure, multiparametric maps (MPM) estimating myelin and iron content from magnetization transfer (MT), proton density (PD), longitudinal relaxation (R1) and effective transverse relaxation (R2*), and myelin g-ratio were examined. Group differences between PreHD and controls were assessed; associations between all imaging metrics and disease burden and CSF neurofilament light (NfL) were also perfors from predicted disease onset.
 Increased iron in subcortical structures and the surrounding white matter is a feature of very early PreHD. Furthermore, increases in CSF NfL were linked to microstructural changes in the posterior parietal-occipital cortex, a region previously shown to undergo some of the earliest cortical changes in HD. These findings suggest that disease related process are occurring in both subcortical and cortical regions more than 20 years from predicted disease onset.
  The development of a reactive tumour stroma is a hallmark of tumour progression and pronounced tumour stroma is generally considered to be associated with clinical aggressiveness. The variability between tumour types regarding stroma fraction, and its prognosis associations, have not been systematically analysed.
 
  Using an objective machine-learning method we quantified the tumour stroma in 16 solid cancer types from 2732 patients, representing retrospective tissue collections of surgically resected primary tumours. Image analysis performed tissue segmentation into stromal and epithelial compartment based on pan-cytokeratin staining and autofluorescence patterns.
 
  The stroma fraction was highly variable within and across the tumour types, with kidney cancer showing the lowest and pancreato-biliary type periampullary cancer showing the highest stroma proportion (median 19% and 73% respectively). Adjusted Cox regression models revealed both positive (pancreato-biliary type periampullary cancer and oestrogen negative breast cancer, HR(95%CI)=0.