Aiming at the problem that the existing risk assessment methods in China cannot simply and accurately assess the safety risk of gas wells, a rapid semi-quantitative risk assessment method for gas wells under high temp...Aiming at the problem that the existing risk assessment methods in China cannot simply and accurately assess the safety risk of gas wells, a rapid semi-quantitative risk assessment method for gas wells under high temperature and pressure is studied. Based on the rapid risk assessment method of annulus well with pressure in Chevron Company and the existing risk assessment methods, the well barrier and annulus pressure of high temperature and high pressure gas wells are fully considered. A rapid semi-quantitative risk assessment method for high temperature and high pressure gas wells is established, which takes the annulus pressure value, well service life, annulus pressure recovery after pressure relief, reservoir conditions (formation pressure, production) and well CO<sub style="font-family:" white-space:normal;"=""><span style="font-size:12px;font-family:Verdana;">2 </span></sub><span style="font-family:Verdana;">and H</span><sub style="font-family:" white-space:normal;"=""><span style="font-size:12px;font-family:Verdana;">2</span></sub><span style="font-family:Verdana;">S content as the key risk indexes. The method is applied in a gas field, and the risk value and risk grade of a practical well are semi-quantitatively evaluated. The overall risk situation of the well is obtained. The research results provide important technical guidance for the safe production of gas well.</span>展开更多
Objective:Urinary tract infection(UTI)is a common cause of morbidity and hospitalisation in the population worldwide.Upper UTI is indolent and causes subclinical acute kidney injury(AKI)resulting in preventable cause ...Objective:Urinary tract infection(UTI)is a common cause of morbidity and hospitalisation in the population worldwide.Upper UTI is indolent and causes subclinical acute kidney injury(AKI)resulting in preventable cause of scarring of renal parenchyma.We explored urinary and serum levels of kidney injury molecule-1(KIM-1),haematological parameters and quantitative urine microscopy parameters to predict kidney injury.Methods:Neutrophilelymphocyte ratio(NLR)is obtained by dividing absolute neutrophil count with absolute lymphocyte count.Quantitative urine sediment microscopy was performed and correlated with clinical,biochemical and haematological findings to predict AKI in patients with UTI.Quantitative ELISA was performed for serum and urine levels of KIM-1.Seventy two adult patients with UTI were enrolled,45 of whom had AKI while 27 were in the non-AKI group.Results:NLR(p=0.005)and renal tubular epithelial cell-granular cast score in quantitative urine microscopy(p=0.008)are strong predictors of AKI in patients with UTI while rest of quantitative urine microscopy parameters and serum and urinary levels of KIM-1 molecule were not found to be useful in prediction of AKI.Conclusion:NLR in haemogram is a novel and useful biomarker for predicting AKI in patients with UTI.展开更多
BACKGROUND:Early warning of severe coronavirus disease 2019(COVID‑19)pneumonia on admission is critical for reducing mortality.PURPOSE:The purpose of this study was to identify the risk factors for predicting severe C...BACKGROUND:Early warning of severe coronavirus disease 2019(COVID‑19)pneumonia on admission is critical for reducing mortality.PURPOSE:The purpose of this study was to identify the risk factors for predicting severe COVID‑19 pneumonia on admission.MATERIALS AND METHODS:Computed tomography(CT)scans on admission and initial clinical data were collected from 213 patients with COVID‑19 pneumonia.Semi‑quantitative CT scoring was performed,multiplying the CT patterns by their extent.CT patterns were graded on a four‑point scale:0,normal attenuation;1,ground‑glass opacities(GGOs);2,mixed patterns of GGO and consolidation;and 3,consolidation.The extent of patterns was visually estimated as the percentage(to the nearest 10%)of the affected pulmonary lobe.Inter‑observer agreement was evaluated using the inter‑class correlation coefficient.CT scores and clinical data were compared between severe and nonsevere patients using parametric and nonparametric statistics,as appropriate.The least absolute shrinkage and selection operator(LASSO)with 10‑fold cross‑validation and logistic regression was used to select the risk factors and construct a predictive model.RESULTS:Age,respiratory rate,hypertension,procalcitonin,D‑dimer,lactate dehydrogenase,high‑sensitivity C‑reactive protein(hs‑CRP),cystatin C,brain natriuretic peptide(pro‑BNP),and CT score were higher in severe COVID‑19 infection.LASSO analysis revealed that the CT score coupled with hs‑CRP was optimal for predicting progression to severe pneumonia.The areas under the curves for validation and testing data were 0.85 and 0.82,respectively,with sensitivity of 89.5%and 75.0%,specificity of 75.4%and 98.1%,and accuracy of 77.2%and 95.3%.CONCLUSION:The CT score combined with hs‑CRP on admission predicted severe COVID‑19 pneumonia.展开更多
文摘Aiming at the problem that the existing risk assessment methods in China cannot simply and accurately assess the safety risk of gas wells, a rapid semi-quantitative risk assessment method for gas wells under high temperature and pressure is studied. Based on the rapid risk assessment method of annulus well with pressure in Chevron Company and the existing risk assessment methods, the well barrier and annulus pressure of high temperature and high pressure gas wells are fully considered. A rapid semi-quantitative risk assessment method for high temperature and high pressure gas wells is established, which takes the annulus pressure value, well service life, annulus pressure recovery after pressure relief, reservoir conditions (formation pressure, production) and well CO<sub style="font-family:" white-space:normal;"=""><span style="font-size:12px;font-family:Verdana;">2 </span></sub><span style="font-family:Verdana;">and H</span><sub style="font-family:" white-space:normal;"=""><span style="font-size:12px;font-family:Verdana;">2</span></sub><span style="font-family:Verdana;">S content as the key risk indexes. The method is applied in a gas field, and the risk value and risk grade of a practical well are semi-quantitatively evaluated. The overall risk situation of the well is obtained. The research results provide important technical guidance for the safe production of gas well.</span>
基金an Insitutte of National Importance under Ministry of Health and Family Welfare,Government of India,for the Intramural funding for the research study.Project No.95/JIP/Res/Intra-MSc/Phase 2/Grant 3/2016-2017 dated 07.01.2017.
文摘Objective:Urinary tract infection(UTI)is a common cause of morbidity and hospitalisation in the population worldwide.Upper UTI is indolent and causes subclinical acute kidney injury(AKI)resulting in preventable cause of scarring of renal parenchyma.We explored urinary and serum levels of kidney injury molecule-1(KIM-1),haematological parameters and quantitative urine microscopy parameters to predict kidney injury.Methods:Neutrophilelymphocyte ratio(NLR)is obtained by dividing absolute neutrophil count with absolute lymphocyte count.Quantitative urine sediment microscopy was performed and correlated with clinical,biochemical and haematological findings to predict AKI in patients with UTI.Quantitative ELISA was performed for serum and urine levels of KIM-1.Seventy two adult patients with UTI were enrolled,45 of whom had AKI while 27 were in the non-AKI group.Results:NLR(p=0.005)and renal tubular epithelial cell-granular cast score in quantitative urine microscopy(p=0.008)are strong predictors of AKI in patients with UTI while rest of quantitative urine microscopy parameters and serum and urinary levels of KIM-1 molecule were not found to be useful in prediction of AKI.Conclusion:NLR in haemogram is a novel and useful biomarker for predicting AKI in patients with UTI.
基金supported by the Construction Project of Shanghai Key Laboratory of Molecular Imaging(18DZ2260400).
文摘BACKGROUND:Early warning of severe coronavirus disease 2019(COVID‑19)pneumonia on admission is critical for reducing mortality.PURPOSE:The purpose of this study was to identify the risk factors for predicting severe COVID‑19 pneumonia on admission.MATERIALS AND METHODS:Computed tomography(CT)scans on admission and initial clinical data were collected from 213 patients with COVID‑19 pneumonia.Semi‑quantitative CT scoring was performed,multiplying the CT patterns by their extent.CT patterns were graded on a four‑point scale:0,normal attenuation;1,ground‑glass opacities(GGOs);2,mixed patterns of GGO and consolidation;and 3,consolidation.The extent of patterns was visually estimated as the percentage(to the nearest 10%)of the affected pulmonary lobe.Inter‑observer agreement was evaluated using the inter‑class correlation coefficient.CT scores and clinical data were compared between severe and nonsevere patients using parametric and nonparametric statistics,as appropriate.The least absolute shrinkage and selection operator(LASSO)with 10‑fold cross‑validation and logistic regression was used to select the risk factors and construct a predictive model.RESULTS:Age,respiratory rate,hypertension,procalcitonin,D‑dimer,lactate dehydrogenase,high‑sensitivity C‑reactive protein(hs‑CRP),cystatin C,brain natriuretic peptide(pro‑BNP),and CT score were higher in severe COVID‑19 infection.LASSO analysis revealed that the CT score coupled with hs‑CRP was optimal for predicting progression to severe pneumonia.The areas under the curves for validation and testing data were 0.85 and 0.82,respectively,with sensitivity of 89.5%and 75.0%,specificity of 75.4%and 98.1%,and accuracy of 77.2%and 95.3%.CONCLUSION:The CT score combined with hs‑CRP on admission predicted severe COVID‑19 pneumonia.
