To describe the infection control preparedness measures undertaken for coronavirus disease (COVID-19) due to SARS-CoV-2 (previously known as 2019 novel coronavirus) in the first 42 days after ...announcement of a cluster of pneumonia in China, on December 31, 2019 (day 1) in Hong Kong.
A bundled approach of active and enhanced laboratory surveillance, early airborne infection isolation, rapid molecular diagnostic testing, and contact tracing for healthcare workers (HCWs) with unprotected exposure in the hospitals was implemented. Epidemiological characteristics of confirmed cases, environmental samples, and air samples were collected and analyzed.
From day 1 to day 42, 42 of 1,275 patients (3.3%) fulfilling active (n = 29) and enhanced laboratory surveillance (n = 13) were confirmed to have the SARS-CoV-2 infection. The number of locally acquired case significantly increased from 1 of 13 confirmed cases (7.7%, day 22 to day 32) to 27 of 29 confirmed cases (93.1%, day 33 to day 42; P < .001). Among them, 28 patients (66.6%) came from 8 family clusters. Of 413 HCWs caring for these confirmed cases, 11 (2.7%) had unprotected exposure requiring quarantine for 14 days. None of these was infected, and nosocomial transmission of SARS-CoV-2 was not observed. Environmental surveillance was performed in the room of a patient with viral load of 3.3 × 106 copies/mL (pooled nasopharyngeal and throat swabs) and 5.9 × 106 copies/mL (saliva), respectively. SARS-CoV-2 was identified in 1 of 13 environmental samples (7.7%) but not in 8 air samples collected at a distance of 10 cm from the patient's chin with or without wearing a surgical mask.
Appropriate hospital infection control measures was able to prevent nosocomial transmission of SARS-CoV-2.
A new heteroleptic iridium complex demonstrated low cytotoxicity and near-infrared excitation (via two-photon absorption) for target-specific in vitro Golgi imaging in various cell lines (HeLa and ...A549 cells) with two-photon absorption cross section (~350 GM) in DMSO.
ZnO nanorod arrays were fabricated using a hydrothermal method. The nanorods were studied by scanning electron microscopy, photoluminescence (PL), time-resolved PL, X-ray photoelectron spectroscopy, ...and positron annihilation spectroscopy before and after annealing in different environments and at different temperatures. Annealing atmosphere and temperature had significant effects on the PL spectrum, while in all cases the positron diffusion length and PL decay times were increased. We found that, while the defect emission can be significantly reduced by annealing at 200 °C, the rods still have large defect concentrations as confirmed by their low positron diffusion length and short PL decay time constants.
Discrepancies in oxygen saturation measured by pulse oximetry (Spo2), when compared with arterial oxygen saturation (Sao2) measured by arterial blood gas (ABG), may differentially affect patients ...according to race and ethnicity. However, the association of these disparities with health outcomes is unknown.
To examine racial and ethnic discrepancies between Sao2 and Spo2 measures and their associations with clinical outcomes.
This multicenter, retrospective, cross-sectional study included 3 publicly available electronic health record (EHR) databases (ie, the Electronic Intensive Care Unit-Clinical Research Database and Medical Information Mart for Intensive Care III and IV) as well as Emory Healthcare (2014-2021) and Grady Memorial (2014-2020) databases, spanning 215 hospitals and 382 ICUs. From 141 600 hospital encounters with recorded ABG measurements, 87 971 participants with first ABG measurements and an Spo2 of at least 88% within 5 minutes before the ABG test were included.
Patients with hidden hypoxemia (ie, Spo2 ≥88% but Sao2 <88%).
Outcomes, stratified by race and ethnicity, were Sao2 for each Spo2, hidden hypoxemia prevalence, initial demographic characteristics (age, sex), clinical outcomes (in-hospital mortality, length of stay), organ dysfunction by scores (Sequential Organ Failure Assessment SOFA), and laboratory values (lactate and creatinine levels) before and 24 hours after the ABG measurement.
The first Spo2-Sao2 pairs from 87 971 patient encounters (27 713 42.9% women; mean SE age, 62.2 17.0 years; 1919 2.3% Asian patients; 26 032 29.6% Black patients; 2397 2.7% Hispanic patients, and 57 632 65.5% White patients) were analyzed, with 4859 (5.5%) having hidden hypoxemia. Hidden hypoxemia was observed in all subgroups with varying incidence (Black: 1785 6.8%; Hispanic: 160 6.0%; Asian: 92 4.8%; White: 2822 4.9%) and was associated with greater organ dysfunction 24 hours after the ABG measurement, as evidenced by higher mean (SE) SOFA scores (7.2 0.1 vs 6.29 0.02) and higher in-hospital mortality (eg, among Black patients: 369 21.1% vs 3557 15.0%; P < .001). Furthermore, patients with hidden hypoxemia had higher mean (SE) lactate levels before (3.15 0.09 mg/dL vs 2.66 0.02 mg/dL) and 24 hours after (2.83 0.14 mg/dL vs 2.27 0.02 mg/dL) the ABG test, with less lactate clearance (-0.54 0.12 mg/dL vs -0.79 0.03 mg/dL).
In this study, there was greater variability in oxygen saturation levels for a given Spo2 level in patients who self-identified as Black, followed by Hispanic, Asian, and White. Patients with and without hidden hypoxemia were demographically and clinically similar at baseline ABG measurement by SOFA scores, but those with hidden hypoxemia subsequently experienced higher organ dysfunction scores and higher in-hospital mortality.
Palliative care for end-stage renal disease (ESRD) is developing in Hong Kong. This is the first local study to explore the symptom burden and quality of life (QOL) of ESRD patients on chronic ...dialysis and palliative care. This was a prospective cross-sectional study conducted on ESRD patients in a hospital in Hong Kong from January 2006 to April 2007. Data collected included demographics, socioeconomic status, modified Charlson Comorbidity Index (CCI), prevalence and intensity of 23 ESRD-related symptoms as rated by numerical rating scale (0–10), Brief Pain Inventory and QOL by MOS SF-36. A total of 179 ESRD patients completed the study; 45 patients (25.1%) were in the palliative care group and 134 patients (74.9%) in the dialysis group. The palliative care group were older (73.1 ± 7.1 vs 58.2 ± 11.4 years, P < 0.001), had marginally higher modified CCI (8.5 ± 1.9 vs 6.1 ± 2.4, P = 0.05), had more diabetics (62.2 vs 35.8%, P < 0.001) and were of poorer socioeconomic status than the dialysis group. The mean number of symptoms was 8.2 ± 3.9 and 9.3 ± 4.7 in the palliative care and the dialysis group, respectively (P = NS). Fatigue, cold aversion, pruritus, lower torso weakness and difficulty sleeping were the five most prevalent symptoms in both groups, and were also among the most intense symptoms. QOL was significantly impaired in both groups. Scores of all QOL domains correlated negatively with the number of symptoms (P < 0.001). Our ESRD patients under palliative care and dialysis had overlapping symptom prevalence and intensity, significant symptom burden and impaired QOL.
► The building occupancy affecting the cooling load prediction is studied. ► PENN model is adopted in this study for predicting the building cooling load. ► Statistical approach is adopted to result ...a less prejudice prediction performance. ► Results show that occupancy data can significantly improve the prediction.
Building cooling load prediction is one of the key factors in the success of energy-saving measures. Many computational models available in the industry today have been developed from either forward or inverse modeling approaches. However, most of these models require extensive computer resources and involve lengthy computation. This paper discusses the use of data-driven intelligent approaches, a probabilistic entropy-based neural (PENN) model to predict the cooling load of a building. Although it is common knowledge that the presence and activity of building occupants have a significant impact on the required cooling load of buildings, practices currently adopted in modeling the presence and activity of people in buildings do not reflect the complexity of the impact occupants have on building cooling load. In contrast to previous artificial neural network (ANN) models, most of which employ a fixed schedule or historic load data to represent building occupancy in simulating building cooling load, this paper introduces two input parameters, dynamic occupancy area and rate and uses it to mimic building cooling load. The training samples used include weather data obtained from the Hong Kong Observatory and building-related data acquired from an existing grade A mega office buildings in Hong Kong with tenants including many multi-national financial companies that require 24-h air conditioning seven days a week. The dynamic changes that occur in the occupancy of these buildings therefore make it very difficult to forecast building cooling load by means of a fixed time schedule. The performance of simulation results demonstrate that building occupancy data play a critical role in building cooling load prediction and that their use significantly improves the predictive accuracy of cooling load models.
Novel corona virus disease 2019 (COVID-19), which first emerged in December 2019, has become a pandemic. This study aimed to investigate the associations between meteorological factors and COVID-19 ...incidence and mortality worldwide. This study included 1,908,197 confirmed cases of and 119,257 deaths from COVID-19 from 190 countries between 23 January and 13 April, 2020. We used a distributed lag non-linear model with city-/country-level random intercept to investigate the associations between COVID19 incidence and daily temperature, relative humidity, and wind speed. A series of confounders were considered in the analysis including demographics, socioeconomics, geographic locations, and political strategies. Sensitivity analyses were performed to examine the robustness of the associations. The COVID-19 incidence showed a stronger association with temperature than with relative humidity or wind speed. An inverse association was identified between the COVID-19 incidence and temperature. The corresponding 14-day cumulative relative risk was 1.28 95% confidence interval (CI), 1.20–1.36 at 5 °C, and 0.75 (95% CI, 0.65–0.86) at 22 °C with reference to the risk at 11 °C. An inverse J-shaped association was observed between relative humidity and the COVID-19 incidence, with the highest risk at 72%. A higher wind speed was associated with a generally lower incidence of COVID-19, although the associations were weak. Sensitivity analyses generally yielded similar results. The COVID-19 incidence decreased with the increase of temperature. Our study suggests that the spread of COVID-19 may slow during summer but may increase during winter.
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•A higher temperature was associated with a lower incidence of COVID-19.•The spread of COVID-19 may slow during summer but may increase during winter.•There was an inverse J-shaped association between relative humidity and the incidence of COVID-19.•The association between wind speed and the incidence of COVID-19 was nonlinear.
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