ABSTRACT
BACKGROUND AND AIMS: Coronavirus disease 2019 (COVID-19), which started in China in December 2019 and spread all over the world, is more progressive in patients who are elderly and with chronic diseases. Especially, kidney involvement affects the survival of patients. In this study, we analysed COVID-19 patients who developed acute kidney injury treated in our unit, retrospectively. METHOD: The clinical and laboratory data of 610 patients who were hospitalized due to COVID-19 pandemic between 1 June 2020 and 30 June 2021 in the intensive care and other clinics of our hospital were evaluated from the records, retrospectively. A total of 140 patients were diagnosed with AKI according to the criteria of Kidney Disease Global Outcomes (KDIGO). The patients were divided into two groups as KDIGO stages 1 and 2 and 3. RESULTS: The median age in both groups was 70 (35-92) and 73 (35-90) years. Approximately 70% of them were >65 years old. Almost all of the patients had hypertension. Most of the patients were using angiotensin converting enzyme inhibitors (ACE inh) or angiotensin receptor blockers (ARB) (84%). AKI was present at the time of admission (61.9%) in the KDIGO 1 group and at the time of hospitalization (64.3%) in the KDIGO 2, 3 groups. The mortality rate was higher in stage 2-3 AKI patients (35.7%). Ferritin and fibrinogen levels were high in the KDIGO 2, 3 group, while lymphocyte levels were low. CONCLUSION: AKI can be seen at the time of admission and during treatment in patients who are hospitalized and treated due to COVID-19. COVID-19 is more mortal in patients with advanced AKI. (Table Presented).
ABSTRACT
This study was carried out to find out the etiology and predisposing factors of calves having diarrhea from Kayseri province and its neighboring cities between January 2016 and September 2019. A total of 270 neonatal diarrheic calves were included to this study. Comprehensive information was obtained by face-to-face interviews with the animal owners about administrative practices such as the vaccination status of the dams, farm type, colostrum intake status. The etiological agents were determined using the lateral flow immunochromatographic test kits. As a result of this investigation, out of 270 diarrheic cases;21.9% (59) Cryptosporidium spp., 15.6% (42) E. coli K99+, 14.1% (38) bovine coronavirus (BCoV), 10.4% (28) bovine rotavirus (BRV), 9.3% (25) Cryptosporidium spp.+BRV, 8.5% (23) BRV+BCoV were found. Interms of shelter type;85.2% (230) were traditional and 14.8% (40) were modern type. Regarding the colostrum intake situation;7.4% (20) received no colostrum, 11.1% (30) received insufficient colostrum and 81.5% (220) received colostrum adequately and on time. Additionally, 36.7% (99) calf mothers were vaccinated and 63.3% (171) were unvaccinated. Compared to those born in autumn, calves born in winter;6.5-fold, in the spring season;3.6-fold and in summer;5.2-fold more likely to develop diarrhea caused by E. coli K99+. These findings may generate valuable information not only for the clinicians and researchers but also animal health experts, policy makers, farmer etc.
ABSTRACT
It is still possible to comply with the Paris Climate Agreement to maintain a global temperature ‘well below +2.0◦ C’ above pre-industrial levels. We present two global non-overshoot pathways (+2.0◦ C and +1.5◦ C) with regional decarbonization targets for the four primary energy sectors—power, heating, transportation, and industry—in 5-year steps to 2050. We use normative scenarios to illustrate the effects of efficiency measures and renewable energy use, describe the roles of increased electrification of the final energy demand and synthetic fuels, and quantify the resulting electricity load increases for 72 sub-regions. Non-energy scenarios include a phase-out of net emissions from agriculture, forestry, and other land uses, reductions in non-carbon greenhouse gases, and land restoration to scale up atmospheric CO2 removal, estimated at −377 Gt CO2 to 2100. An estimate of the COVID-19 effects on the global energy demand is included and a sensitivity analysis describes the impacts if implementation is delayed by 5, 7, or 10 years, which would significantly reduce the likelihood of achieving the 1.5◦ C goal. The analysis applies a model network consisting of energy system, power system, transport, land-use, and climate models. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.