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
Urinary kidney injury molecule 1(uKIM-1)serves as a reliable marker for the early diagnosis of acute kidney injury(AKI).The rapid and facile detection of changes in uKIM-1 is essential for early AKI diagnosis,ultimate...Urinary kidney injury molecule 1(uKIM-1)serves as a reliable marker for the early diagnosis of acute kidney injury(AKI).The rapid and facile detection of changes in uKIM-1 is essential for early AKI diagnosis,ultimately improving the prognosis of patients.In this study,we developed a fully printed photonic crystal-integrated microarray with photonic crystal-enhanced fluorescence properties,which can detect uKIM-1 levels at the point-of-care.We confirmed its efficacy in the early diagnosis of AKI using clinical urine specimens.Direct quantitative detection of uKIM-1 was achieved within 10 min.The lowest limit of detection is 8.75 pg·mL^(-1) with an accuracy of 94.2%.The diagnostic efficacy was validated using 86 clinical urine samples,highlighting the high sensitivity and stability of the photonic crystal microarray.Consequently,a facile and reliable immunoassay was designed and prepared for the rapid quantitative detection of uKIM-1,which is crucial for the early identification and convenient detection of AKI in hospital or community settings.Rapid,convenient,cost-effective,and long-term monitoring of changes in uKIM-1 levels can assist clinicians in making timely adjustments to treatment regimens,preventing the transition from AKI to chronic kidney disease(CKD),improving the quality of life of patients with AKI,and reducing healthcare costs.It highlights the advantages of utilizing urine samples as a noninvasive and easily accessible medium for early detection and monitoring of kidney-related conditions.展开更多
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 National Natural Science Foundation of China(Nos.82170684,52222313,22075296,91963212,82000004)the Health Care Program Foundation of PLA(No.21BJZ17)+2 种基金the Youth Independent Innovation Science Fund of the General Hospital of the People’s Liberation Army(No.22QNFC007)the Youth Innovation Promotion Association CAS(No.2020032)the Intramural Research Fund of Peking University International Hospital(No.YN2021QN05).
文摘Urinary kidney injury molecule 1(uKIM-1)serves as a reliable marker for the early diagnosis of acute kidney injury(AKI).The rapid and facile detection of changes in uKIM-1 is essential for early AKI diagnosis,ultimately improving the prognosis of patients.In this study,we developed a fully printed photonic crystal-integrated microarray with photonic crystal-enhanced fluorescence properties,which can detect uKIM-1 levels at the point-of-care.We confirmed its efficacy in the early diagnosis of AKI using clinical urine specimens.Direct quantitative detection of uKIM-1 was achieved within 10 min.The lowest limit of detection is 8.75 pg·mL^(-1) with an accuracy of 94.2%.The diagnostic efficacy was validated using 86 clinical urine samples,highlighting the high sensitivity and stability of the photonic crystal microarray.Consequently,a facile and reliable immunoassay was designed and prepared for the rapid quantitative detection of uKIM-1,which is crucial for the early identification and convenient detection of AKI in hospital or community settings.Rapid,convenient,cost-effective,and long-term monitoring of changes in uKIM-1 levels can assist clinicians in making timely adjustments to treatment regimens,preventing the transition from AKI to chronic kidney disease(CKD),improving the quality of life of patients with AKI,and reducing healthcare costs.It highlights the advantages of utilizing urine samples as a noninvasive and easily accessible medium for early detection and monitoring of kidney-related conditions.