The 5th edition of the World Health Organization Classification of Haematolymphoid Tumours: Lymphoid Neoplasms.

We herein present an overview of the upcoming 5th edition of the World Health Organization Classification of Haematolymphoid Tumours focussing on lymphoid neoplasms. Myeloid and histiocytic neoplasms will be presented in a separate accompanying article. Besides listing the entities of the classification, we highlight and explain changes from the revised 4th edition. These include reorganization of entities by a hierarchical system as is adopted throughout the 5th edition of the WHO classification of tumours of all organ systems, modification of nomenclature for some entities, revision of diagnostic criteria or subtypes, deletion of certain entities, and introduction of new entities, as well as inclusion of tumour-like lesions, mesenchymal lesions specific to lymph node and spleen, and germline predisposition syndromes associated with the lymphoid neoplasms.

Non-stop industries were the main source of air pollution during the 2020 coronavirus lockdown in the North China Plain.

Despite large decreases of emissions of air pollution during the coronavirus disease 2019 (COVID-19) lockdown in 2020, an unexpected regional severe haze has still occurred over the North China Plain. To clarify the origin of this pollution, we studied air concentrations of fine particulate matter (PM2.5), NO2, O3, PM10, SO2, and CO in Beijing, Hengshui and Baoding during the lockdown period from January 24 to 29, 2020. Variations of PM2.5 composition in inorganic ions, elemental carbon and organic matter were also investigated. The HYSPLIT model was used to calculate backward trajectories and concentration weighted trajectories. Results of the cluster trajectory analysis and model simulations show that the severe haze was caused mainly by the emissions of northeastern non-stopping industries located in Inner Mongolia, Liaoning, Hebei, and Tianjin. In Beijing, Hengshui and Baoding, the mixing layer heights were about 30% lower and the maximum relative humidity was 83% higher than the annual averages, and the average wind speeds were lower than 1.5 m s-1. The concentrations of NO3 -, SO4 2-, NH4 +, organics and K+ were the main components of PM2.5 in Beijing and Hengshui, while organics, K+, NO3 -, SO4 2-, and NH4 + were the main components of PM2.5 in Baoding. Contrary to previous reports suggesting a southerly transport of air pollution, we found that northeast transport caused the haze formation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10311-021-01314-8.

The endogenous factors affecting the detection of serum SARS-CoV-2 IgG/IgM antibodies by ELISA.

To investigate endogenous interference factors of the detection results of novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) IgM/IgG. Enzyme-linked immunosorbent assay (ELISA) was used to detect SARS-CoV-2 IgM/IgG in sera of 200 patients without COVID-19 infection, including rheumatoid factor (RF) positive group, antinuclear antibody (ANA) positive group, pregnant women group, and normal senior group, with 50 in each group and 100 normal controls. The level of SARS-CoV-2 IgG in pregnant women was significantly higher than that in the normal control group (p = 0.000), but there was no significant difference between other groups. The levels of SARS-CoV-2 IgM in the pregnant women group, normal senior group, ANA positive group, and RF positive group were significantly higher than that in the normal control group (p < 0.05), with significant higher false-positive rates in these groups (p = 0.036, p = 0.004, p = 0.000, vs. normal control group). Serum RF caused SARS-CoV-2 IgM false-positive in a concentration-dependent manner, especially when its concentration was higher than 110.25 IU/L, and the urea dissociation test can turn the false positive to negative. ANA, normal seniors, pregnant women, and RF can lead to false-positive reactivity of SARS-CoV-2 IgM and/or IgG detected using ELISA. These factors should be considered when SARS-CoV-2 IgM or IgG detection is positive, false positive samples caused by RF positive can be used for urea dissociation test.

Non-stop industries were the main source of air pollution during the 2020 coronavirus lockdown in the North China Plain

Despite large decreases of emissions of air pollution during the coronavirus disease 2019 (COVID-19) lockdown in 2020, an unexpected regional severe haze has still occurred over the North China Plain. To clarify the origin of this pollution, we studied air concentrations of fine particulate matter (PM2.5), NO2, O3, PM10, SO2, and CO in Beijing, Hengshui and Baoding during the lockdown period from January 24 to 29, 2020. Variations of PM2.5 composition in inorganic ions, elemental carbon and organic matter were also investigated. The HYSPLIT model was used to calculate backward trajectories and concentration weighted trajectories. Results of the cluster trajectory analysis and model simulations show that the severe haze was caused mainly by the emissions of northeastern non-stopping industries located in Inner Mongolia, Liaoning, Hebei, and Tianjin. In Beijing, Hengshui and Baoding, the mixing layer heights were about 30% lower and the maximum relative humidity was 83% higher than the annual averages, and the average wind speeds were lower than 1.5 m s−1. The concentrations of NO3−, SO42−, NH4+, organics and K+ were the main components of PM2.5 in Beijing and Hengshui, while organics, K+, NO3−, SO42−, and NH4+ were the main components of PM2.5 in Baoding. Contrary to previous reports suggesting a southerly transport of air pollution, we found that northeast transport caused the haze formation. Supplementary Information The online version contains supplementary material available at 10.1007/s10311-021-01314-8.

Switching to electric vehicles can lead to significant reductions of PM2.5 and NO2 across China

Summary Transportation contributes to around one-fifth of global greenhouse gas emissions, while also causing severe air pollution. The conversion to electric vehicles (EVs) represents a major path to decarbonize the transport sector, with potentially significant co-benefits for human health. However, the scale of such co-benefits largely remains an empirical question and lacks observational evidence. The full lockdown in China during the coronavirus disease 2019 (COVID-19) pandemic provides an unprecedented real-world experiment to evaluate emission reduction potentials of a large-scale transition to EVs. Here, we utilize ground and satellite observations of air quality during the full lockdown to constrain predictions of a comprehensive chemical transport model and find that the substantial traffic reductions are near-linearly linked to reductions of PM2.5 (particles with an aerodynamic diameter ≤2.5 μm) and NO2. A further extrapolation of a full conversion to EVs shows a significant reduction of PM2.5 (30%–70%) and NO2 (30%–80%) in most of China. Our findings provide fact-based evidence of potential environmental benefits generated by fully switching to EVs.

Privacy Perils of Open Data and Data Sharing: A Case Study of Taiwan's Open Data Policy and Practices

Governments and private sector players have hopped on the open data train in the past few years. Both the governments and civil society in Taiwan are exploring the opportunities provided by the data stored in public and private sectors. While they have been enjoying the benefits of the sharing and flowing of data among various databases, the government and some players in the private sectors have also posed tremendous privacy challenges by inappropriately gathering and processing personal data. The amended Personal Data Protection Act was originally enacted as a regulatory mechanism to protect personal data and create economic benefits via enhancing the uses of public and private sector data. In reality, the Act has instead resulted in harm to Taiwan's data privacy situation in this big data era. This article begins with an overview of the Taiwan's open data policy history and its current practices. Next, the article analyzes cases in which the data sharing practices between different sectors have given rise to privacy controversies, with a particular focus on 2020, when Taiwan used data surveillance in response to the COVID-19 pandemic. Finally, this article flags problems related to an open data system, including the protection of sensitive data, de-identification, the right to consent and opt-out, and the ambiguity of "public interest," and concludes by proposing a feasible architecture for the implementation of a more sensible open data system with privacy-enhancing characteristics. [ABSTRACT FROM AUTHOR] Copyright of Washington International Law Journal is the property of Pacific Rim Law & Policy Association and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Unmatched Virus Preservation Solution may Impede One-Step Reagent for Detection of 2019-nCoV RNA.

BACKGROUND AND METHODS: 2019 Corona Virus Disease (COVID-19) caused by SARS-CoV-2 is still pandemic now. RT-qPCR detection was the most common method for the diagnosis of SARS-CoV-2 infection, facilitated by amounts of nucleic acid testing kits. However, the accuracy of nucleic acid detection is affected by various factors such as specimen collection, specimen preparation, reagents deficiency, and personnel quality. RESULTS: In this study, we found that unmatched virus preservation solution will inhibit N gene and OFR-1ab gene (two independent genes of SARS-CoV-2) amplification in one-step detection reagent. CONCLUSIONS: Despite just being a particular phenomenon we found in our work to fight 2019-nCoV, we concluded that unmatched virus preservation solution may have an inhibitory effect on SARS-CoV-2 nucleic acid detection which may lead to incorrect clinical diagnosis.

[Clinical and laboratory characteristics of 215 cases of coronavirus disease 2019 with different prognosis].

OBJECTIVE: To analyze the clinical and laboratory characteristics of coronavirus disease 2019 (COVID-19) patients with different prognosis, and to provide evidence for the diagnosis and treatment of COVID-19. METHODS: The clinical and laboratory characteristics of 215 cases of confirmed COVID-19 patients admitted in the First People's Hospital of Tianmen City from January 18 to March 10, 2020 were retrospectively analyzed, including blood cell indexes, inflammatory indexes [C-reactive protein (CRP) and procalcitonin (PCT)], liver function, cardiac function, renal function, blood coagulation function, electrolyte, chest CT scan, and 2019 novel coronavirus (2019-nCoV) nucleic acid tests. The differences of above indexes in the two groups were compared and analyzed. In addition, 55 patients with other viral pneumonia were selected as the control group who admitted to the hospital from August 1 to November 30, 2019. The changes of laboratory indexes of COVID-19 group and control group were observed. RESULTS: In the 215 patients, 206 patients survived and 9 patients died. The average age of survival group was significantly lower than that in the death group, and the average length of hospital stay was significantly longer than the death group. (1) Clinical features: the proportion of underlying diseases in the death group was significantly higher than that in the survival group, such as dyspnea, sore throat, shiver, hypertension, diabetes, coronary heart disease, renal disease, and surgical history. There were no significant differences in other symptoms, signs and underlying diseases between the two group. (2) Laboratory test indexes of the two groups: in death group, white blood cell count [WBC (×109/L): 10.6 (4.0, 13.4) vs. 4.90 (3.92, 6.26)], neutrophils count [NEU (×109/L): 9.7 (3.4, 12.2) vs. 2.9 (2.1, 4.2)]; ratio of neutrophils to lymphocytes [NLR: 14.66 (5.19, 18.48) vs. 2.34 (1.47, 3.34)], CRP [mg/L: 130.21 (35.74, 210.86) vs. 17.90 (3.11, 50.23)], PCT [mg/L: 1.46 (0.45, 13.12) vs. 0.04 (0.02, 0.07)], lactate dehydrogenase [LDH (µmol×s-1×L-1): 4.80 (3.34, 7.37) vs. 3.77 (2.99, 5.12)], creatinine [Cr (µmol/L): 72.9 (69.6, 627.5) vs. 68.4 (55.5, 81.9)], D-dimer [mg/L: 0.86 (0.56, 3.32) vs. 0.39 (0.33, 0.58)], the area of ground glass opacity of chest CT scan [77.8% (7/9) vs. 35.0% (72/206)], the area of local patchy shadows [55.6% (5/9) vs. 17.5% (36/206)], the area of bilateral patchy shadows [100.0% (9/9) vs. 49.5% (102/206)] were significantly higher than those in survival group (all P < 0.01), lymphocyte count [LYM (×109/L): 0.6 (0.5, 0.8) vs. 1.3 (1.0, 1.6)], Na+ [mmol/L: 136.1 (131.0, 136.8) vs. 138.8 (136.5, 140.4)], Cl- [mmol/L: 97.7 (92.7, 100.9) vs. 102.7 (100.2, 104.3)], and carbon dioxide [CO2 (mmol/L): 23.0 (20.6, 28.5) vs. 29.2 (27.7, 30.9)] were significantly lower than those in survival group (all P < 0.05). (3) Laboratory test indicators in COVID-19 and control groups: in COVID-19 group, WBC, NEU, LYM, platelet count (PLT), coefficient of variation of red blood cell distribution width (RDW-CV), standard deviation of red blood cell distribution width (RDW-SD) and Cl- were significantly lower than those in control group, NLR, CRP, K+ and CO2 were significantly higher than those in control group. CONCLUSIONS: The major early symptoms of COVID-19 are fever, cough, chest tightness and fatigue. Age and underlying disease may be the risk factors which affect the prognosis of patients with COVID-19. The laboratory indexes such as WBC, NEU, LYM, CRP, PCT, LDH and Cr between death group and survival group were significantly abnormal in the early stages of COVID-19, which would have important implications for the prognosis of patients with COVID-19. Meanwhile, laboratory test indexes, including WBC, NEU, LYM, PLT, RDW-CV, RDW-SD, CRP, Cl-, K+ and CO2, also have important value in the differential diagnosis between COVID-19 and other viral pneumonia.

Dynamic monitoring of immune function indexes in COVID-19 patients.

We conducted a retrospective analysis of the clinical characteristics and dynamic variations of immune indexes in nine COVID-19 patients in Zigong, China. We used flow cytometry and enzyme-linked immunosorbent assays to measure the absolute levels of CD4 and CD8 lymphocytes and SARS-CoV-2 antibodies, respectively. We found that CRP, LDH, HBDH, CD4/CD8 and IgE levels were increased in 6/9 patients, while PA and the absolute numbers of CD4 and CD8 lymphocytes decreased in 7/9 patients. From disease onset through 63 days of follow-up, SARS-CoV-2 IgG levels were consistently higher than those of SARS-CoV-2 IgM, reaching peaks on days 28 and 13, respectively. IgM levels decreased to normal 35 days after disease onset, while IgG levels remained elevated through day 63. IgE levels varied similarly to SARS-CoV-2 IgM. Our results suggest that SARS-CoV-2 may elicit allergic immune responses in patients and that the levels of CRP, PA, LDH, and HBDH, as well as the absolute numbers of CD4 and CD8 lymphocytes could be used as early diagnostic markers of SARS-CoV-2 infection. Lastly, the dynamic variation of SARS-CoV-2 antibodies could guide the timing of blood collection for plasma exchange.

Practice and thinking on prevention and control of Corona Virus Disease 2019 in Inner Mongolia People's Hospital

OBJECTIVE: To analyze the strategies for prevention and control of Corona Virus Disease 2019 (COVID-19) based on the practical experience of prevention and control of nosocomial infection so as to provide reference for the formulation and improvement of programs for prevention and control of COVID-19 in hospitals. METHODS: Close attention was paid to the dynamic condition of the epidemic, the programs for prevention and control of COVID-19 were formulated based on the related national laws and regulations for prevention and treatment of infectious diseases and normative documents released by health administrative departments in combination with the practice of prevention and control of nosocomial infection in Inner Mongolia People's Hospital, and the practical experience was summarized. RESULTS: The prevention and control programs involving the organizational guarantee, training of all staff, implementation of related prevention and control measures and social responsibility were formulated. In the practical work, there were problems in pre-inspection and triage, mastery of key points of process of putting on and taking off protective equipment, layout process and disposal of medical waste, and they needed to be rectified. CONCLUSION: In response to COVID-19 epidemic, it is the primary step for prevention and control of nosocomial infection to strengthen the pre-examination and triage work, the key step to properly select personal protective equipment and rigidly follow the procedure of putting on and taking off, and the quality control and supervision are effective for prevention and control of nosocomial infection.

Unexpected rise of ozone in urban and rural areas, and sulfur dioxide in rural areas during the coronavirus city lockdown in Hangzhou, China: implications for air quality.

The outbreak of coronavirus named COVID-19, initially identified in Wuhan, China in December 2019, has spread rapidly at the global scale. Most countries have rapidly stopped almost all activities including industry, services and transportation of goods and people, thus decreasing air pollution in an unprecedented way, and providing a unique opportunity to study air pollutants. While satellite data have provided visual evidence for the global reduction in air pollution such as nitrogen dioxide (NO2) worldwide, precise and quantitative information is missing at the local scale. Here we studied changes in particulate matter (PM2.5, PM10), carbon monoxide (CO), NO2, sulfur dioxide (SO2) and ozone (O3) at 10 urban sites in Hangzhou, a city of 7.03 million inhabitants, and at 1 rural site, before city lockdown, January 1-23, during city lockdown, January 24-February 15, and during resumption, February 16-28, in 2020. Results show that city lockdown induced a sharp decrease in PM2.5, PM10, CO, and NO2 concentrations at both urban and rural sites. The NO2 decrease is explained by reduction in traffic emissions in the urban areas, and by lower regional transport in rural areas during lockdown, as expected. SO2 concentrations decreased from 6.3 to 5.3 µg m-3 in the city, but increased surprisingly from 4.7 to 5.8 µg m-3 at the rural site: this increase is attributed both to higher coal consumption for heating and emissions from traditional fireworks of the Spring Eve and Lantern Festivals during lockdown. Unexpectedly, O3 concentrations increased by 145% from 24.6 to 60.6 µg m-3 in the urban area, and from 42.0 to 62.9 µg m-3 in the rural area during the lockdown. This finding is explained by the weakening of chemical titration of O3 by NO due to reductions of NOx fresh emissions during the non-photochemical reaction period from 20:00 PM to 9:00 AM (local time). During the lockdown, compared to the same period in 2019, the daily average concentrations in the city decreased by 42.7% for PM2.5, 47.9% for PM10, 28.6% for SO2, 22.3% for CO and 58.4% for NO2, which is obviously explained by the absence of city activities. Overall, we observed not only the expected reduction in some atmospheric pollutants (PM, SO2, CO, NO2), but also unexpected increases in SO2 in the rural areas and of ozone (O3) in both urban and rural areas, the latter being paradoxically due to the reduction in nitrogen oxide levels. In other words, the city lockdown has improved air quality by reducing PM2.5, PM10, CO, and NO2, but has also decreased air quality by augmenting O3 and SO2.