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Background The coronavirus disease 2019 (COVID-19) pandemic has severely affected ICUs and critical care health-care providers (HCPs) worldwide. Research Question How do regional differences and perceived lack of ICU resources affect critical care resource use and the well-being of HCPs? Study Design and Methods Between April 23 and May 7, 2020, we electronically administered a 41-question survey to interdisciplinary HCPs caring for patients critically ill with COVID-19. The survey was distributed via critical care societies, research networks, personal contacts, and social media portals. Responses were tabulated according to World Bank region. We performed multivariate log-binomial regression to assess factors associated with three main outcomes: limiting mechanical ventilation (MV), changes in CPR practices, and emotional distress and burnout. Results We included 2,700 respondents from 77 countries, including physicians (41%), nurses (40%), respiratory therapists (11%), and advanced practice providers (8%). The reported lack of ICU nurses was higher than that of intensivists (32% vs 15%). Limiting MV for patients with COVID-19 was reported by 16% of respondents, was lowest in North America (10%), and was associated with reduced ventilator availability (absolute risk reduction [ARR], 2.10; 95% CI, 1.61-2.74). Overall, 66% of respondents reported changes in CPR practices. Emotional distress or burnout was high across regions (52%, highest in North America) and associated with being female (mechanical ventilation, 1.16; 95% CI, 1.01-1.33), being a nurse (ARR, 1.31; 95% CI, 1.13-1.53), reporting a shortage of ICU nurses (ARR, 1.18; 95% CI, 1.05-1.33), reporting a shortage of powered air-purifying respirators (ARR, 1.30; 95% CI, 1.09-1.55), and experiencing poor communication from supervisors (ARR, 1.30; 95% CI, 1.16-1.46). Interpretation Our findings demonstrate variability in ICU resource availability and use worldwide. The high prevalence of provider burnout and its association with reported insufficient resources and poor communication from supervisors suggest a need for targeted interventions to support HCPs on the front lines.

Background Assessing the impact of coronavirus disease 2019 (COVID-19) on intensive care unit (ICU) providers’ perceptions of resource availability and evaluating the factors associated with emotional distress/burnout can inform interventions to promote provider well-being. Methods Between 23 April and 7 May 2020, we electronically administered a survey to physicians, nurses, respiratory therapists (RTs), and advanced practice providers (APPs) caring for COVID-19 patients in the United States. We conducted a multivariate regression to assess associations between concerns, a reported lack of resources, and 3 outcomes: a primary outcome of emotional distress/burnout and 2 secondary outcomes of (1) fear that the hospital is unable to keep providers safe; and (2) concern about transmitting COVID-19 to their families/communities. Results We included 1651 respondents from all 50 states: 47% were nurses, 25% physicians, 17% RTs, and 11% APPs. Shortages of intensivists and ICU nurses were reported by 12% and 28% of providers, respectively. The largest supply restrictions reported were for powered air purifying respirators (56% reporting restricted availability). Provider concerns included worries about transmitting COVID-19 to their families/communities (66%), emotional distress/burnout (58%), and insufficient personal protective equipment (PPE; 40%). After adjustment, emotional distress/burnout was significantly associated with insufficient PPE access (adjusted relative risk [aRR], 1.43; 95% confidence interval [CI], 1.32–1.55), stigma from community (aRR, 1.32; 95% CI, 1.24–1.41), and poor communication with supervisors (aRR, 1.13; 95% CI, 1.06–1.21). Insufficient PPE access was the strongest predictor of feeling that the hospital is unable to keep providers safe and worries about transmitting infection to their families/communities. Conclusions Addressing insufficient PPE access, poor communication from supervisors, and community stigma may improve provider mental well-being during the COVID-19 pandemic.

Mobile phones provide important services like GPS, short-range wireless communications using infrared or Bluetooth, business applications, mobile banking etc. Mobile hard-ware add--ons are also popular like, handheld keyboard with mobile phone, mobile with handheld miniature microscope (phonoscope) and others. Imaging is one of the most important features of mobile technology. Magnified images are providing in depth recognition capabilities of object. Mobile based microscope is used for Geology, Biological, Medicine, Horticulture and others areas. Objective of this paper is to present a method for rock identification using mobile based microscope camera imaging of surface parameter. Rock surface parameters are color, grain, texture. The development in the area of mobile application has opened new challenges in mobile image processing. In this paper we demonstrate a method that adopts microscope optics into mobile camera optics and developed java based (J2ME) mobile application for recognizing rock type. This consists of feature extraction algorithm using wavelet based data compression and neural network based feature classification. Rock surface parameters used in this work is grain. The signature extracted from grain parameter is used to identify the rock type.

Animal studies have shown that even a small temperature elevation of 1°C can cause detrimental effects after brain injury. Since the skull acts as a potential thermal insulator, we hypothesized that decompressive hemicraniectomy facilitates surface cooling and lowers brain temperature.Forty-eight patients with severe brain injury (TBI = 38, ICH = 10) with continuous brain temperature monitoring were retrospectively studied and grouped into "hemicraniectomy" (n = 20) or "no hemicraniectomy" (n = 28) group. The paired measurements of core body (T Core) and brain (T Br) temperature were recorded at 1-min intervals over 12 ± 7 days. As a surrogate measure for the extent of surface heat loss from the brain, ∆T Core-Br was calculated as the difference between T Core and T Br with each recording. In order to accommodate within-patient temperature correlations, mixed-model regression was used to assess the differences in ∆T Core-Br between those with and without hemicraniectomy, adjusted for core body temperature and diagnosis.A total of 295,883 temperature data pairs were collected (median [IQR] per patient: 5047 [3125-8457]). Baseline characteristics were similar for age, sex, diagnosis, incidence of sepsis, Glasgow Coma Scale score, ICU mortality, and ICU length of stay between the two groups. The mean difference in ∆T Core-Br was 1.29 ± 0.87°C for patients with and 0.80 ± 0.86°C for patients without hemicraniectomy (P0.0001). In mixed-model regression, accounting for temperature correlations within patients, hemicraniectomy and higher T Core were associated with greater ∆T Core-Br (hemicraniectomy: estimated effect = 0.60, P = 0.003; T Core: estimated effect = 0.21, P0.0001).Hemicraniectomy is associated with modestly but significantly lower brain temperature relative to core body temperature.

Objective To determine the prevalence of subdural hematoma (SDH) in patients presenting with primary nontraumatic lobar intracerebral hemorrhage (ICH) and characteristics associated with the presence of SDH. Design Retrospective analysis of data collected in a prospective cohort study. Setting Hospital. Patients Consecutive sample of 200 patients with primary lobar ICH and 75 patients with deep hemispheric ICH. Main Outcome Measures Presence of SDH and mortality. Results Subdural hematoma was present in 40 of 200 patients (20%) with primary lobar ICH. By contrast, SDH was not present in any of 75 consecutive patients with deep hemispheric ICH ( P 3 was the only independent predictor of SDH (odds ratio [OR], 2.69; 95% confidence interval [CI], 1.14-6.34; P = .02). Subdural hematoma thickness more than 5 mm was an independent predictor of increased 30-day mortality (OR, 7.60; 95% CI, 1.86-30.99; P = .005) after controlling for other factors including ICH volume. Further analysis showed that the effect of SDH on mortality depended on ICH volume, with larger odds for mortality in those with low ICH volume (OR, 12.85; 95% CI, 2.42-68.23; P = .003 for those with ICH volume 3 ). Cerebral amyloid angiopathy was present in 8 of 9 patients with pathological specimens. Conclusions Nontraumatic SDH frequently accompanies primary lobar ICH and is associated with higher 30-day mortality, particularly when the ICH volume is relatively low. Rupture of an amyloid-laden leptomeningeal vessel, with extravasation into the brain parenchyma and subdural space, may be the pathogenic mechanism.

Background and Purpose— Cerebral amyloid angiopathy (CAA) is a major cause of lobar intracerebral hemorrhage and cognitive impairment and is associated with white matter hyperintensities and cerebral microbleeds. MRI diffusion tensor imaging detects microstructural tissue damage in advanced CAA even in areas that appear normal on conventional MRI. We hypothesized that higher global mean apparent diffusion coefficient (mean ADC), reflecting a higher amount of chronic tissue disruption caused by CAA, would be independently associated with CAA-related cognitive impairment. Methods— Preintracerebral hemorrhage cognitive impairment was systematically assessed using a standardized questionnaire (IQCODE) in 49 patients. Volume of white matter hyperintensities, number of microbleeds, and mean ADC were determined from MRIs obtained within 14.0±22.5 days of intracerebral hemorrhage cognitive impairment. White matter hyperintensities and mean ADC were measured in the hemisphere uninvolved by intracerebral hemorrhage to avoid confounding. Results— Preintracerebral hemorrhage cognitive impairment was identified in 10 of 49 subjects. Mean ADC was the only variable associated with preintracerebral hemorrhage cognitive impairment and was elevated in those with preintracerebral hemorrhage cognitive impairment compared with those without (12.4×10 −4 versus 11.7×10 −4 mm 2 /s; P =0.03). Mean ADC positively correlated with age but not white matter hyperintensities or number of microbleeds. In logistic regression controlling for age and visible cerebral atrophy, mean ADC was independently associated with preintracerebral hemorrhage cognitive impairment (OR per 1×10 −4 mm 2 /s increase=2.45, 95% CI 1.11 to 5.40, P =0.04). Conclusions— Mean ADC is independently associated with preintracerebral hemorrhage cognitive impairment in CAA. The lack of correlation with other MRI markers of CAA suggests that mean ADC may be sensitive to distinct aspects of CAA pathology and its tissue consequences. These results suggest that global MRI diffusion changes are sensitive to clinically relevant microstructural alterations and may be useful markers of CAA-related tissue damage.