Limitations of Conventional Parameters and Role of Urinary Protein Biomarkers in the Determination of Drug Induced Acute Kidney Injury in Very Early Stage

2014 ◽  
Vol 4 (21) ◽  
pp. 2463-2474 ◽  
Author(s):  
R. Sundaram ◽  
B. Abhirama ◽  
L. Gowtham ◽  
Gladys Kalpana ◽  
M. Sudha ◽  
...  
2019 ◽  
Vol 20 (8) ◽  
pp. 656-664 ◽  
Author(s):  
Yi Da ◽  
K. Akalya ◽  
Tanusya Murali ◽  
Anantharaman Vathsala ◽  
Chuen-Seng Tan ◽  
...  

Background: : Drug-induced Acute Kidney Injury (AKI) develops in 10-15% of patients who receive nephrotoxic medications. Urinary biomarkers of renal tubular dysfunction may detect nephrotoxicity early and predict AKI. Methods:: We prospectively studied patients who received aminoglycosides, vancomycin, amphotericin, or calcineurin inhibitors, and collected their serial urine while on therapy. Patients who developed drug-induced AKI (fulfilling KDIGO criteria) were matched with non-AKI controls in a 1:2 ratio. Their urine samples were batch-analyzed at time-intervals leading up to AKI onset; the latter benchmarked against the final day of nephrotoxic therapy in non- AKI controls. Biomarkers examined include clusterin, beta-2-microglobulin, KIM1, MCP1, cystatin-C, trefoil-factor- 3, NGAL, interleukin-18, GST-Pi, calbindin, and osteopontin; biomarkers were normalized with corresponding urine creatinine. Results:: Nine of 84 (11%) patients developed drug-induced AKI. Biomarkers from 7 AKI cases with pre-AKI samples were compared with those from 14 non-AKI controls. Corresponding mean ages were 55(±17) and 52(±16) years; baseline eGFR were 99(±21) and 101(±24) mL/min/1.73m2 (all p=NS). Most biomarker levels peaked before the onset of AKI. Median levels of 5 biomarkers were significantly higher in AKI cases than controls at 1-3 days before AKI onset (all µg/mmol): clusterin [58(8-411) versus 7(3-17)], beta-2-microglobulin [1632(913-3823) versus 253(61-791)], KIM1 [0.16(0.13-0.76) versus 0.07(0.05-0.15)], MCP1 [0.40(0.16-1.90) versus 0.07(0.04-0.17)], and cystatin-C [33(27-2990) versus 11(7-19)], all p<0.05; their AUROC for AKI prediction were >0.80 (confidence intervals >0.50), with average accuracy highest for clusterin (86%), followed by beta-2-microglobulin, cystatin-C, MCP1, and KIM1 (57%) after cross-validation. Conclusion: : Serial surveillance of these biomarkers could improve the lead time for nephrotoxicity detection by days.


2021 ◽  
Vol 15 (3) ◽  
pp. 225-228
Author(s):  
Aline de Sousa Alves ◽  
Fernanda Vieira Henrique ◽  
Sabrina Barros Araújo ◽  
Dayanny de Sousa Alencar ◽  
Higina Moreira Melo ◽  
...  

This study aimed to evaluate the renal function of six bitches of various breeds and ages, with open pyometra, attended in the Small Animal Medical Clinic sector of the Veterinary Hospital from Federal University of Campina Grande, through the measurement of laboratory tests: urea and creatinine serum, dosage of the urinary Protein-Creatinine Ratio (PCR), urinary gamma-glutamyltransferase (GGT) and determination of the renal resistivity index (RI). The levels of urea and creatinine were elevated in 16.6% (1/6) of the female dogs; the urinary protein-creatinine ratio was increased in 66.6% (4/6), while the urinary gamma-glutamyltransferase value was elevated in 50% (3/6). The renal resistivity index was increased in the right and left kidneys by 66.6% (4/6) of bitches, with no statistical difference between them. It was concluded that the renal resistivity index was a practical and effective method to assist in the diagnosis of acute kidney injury, along with other early markers, such as PCR and urinary GGT.


2020 ◽  
pp. 20200802
Author(s):  
Yi Wang ◽  
Kaixiang Liu ◽  
Xisheng Xie ◽  
Bin Song

Acute kidney injury (AKI) is a common complication of acute pancreatitis (AP) that is associated with increased mortality. Conventional assessment of AKI is based on changes in serum creatinine concentration and urinary output. However, these examinations have limited accuracy and sensitivity for the diagnosis of early-stage AKI. This review summarizes current evidence on the use of advanced imaging approaches and artificial intelligence (AI) for the early prediction and diagnosis of AKI in patients with AP. CT scores, CT post-processing technology, Doppler ultrasound, and AI technology provide increasingly valuable information for the diagnosis of AP-induced AKI. Magnetic resonance imaging (MRI) also has potential for the evaluation of AP-induced AKI. For the accurate diagnosis of early-stage AP-induced AKI, more studies are needed that use these new techniques and that use AI in combination with advanced imaging technologies.


ACS Sensors ◽  
2020 ◽  
Vol 5 (8) ◽  
pp. 2457-2466
Author(s):  
Lingyan Liu ◽  
Liping Jiang ◽  
Wei Yuan ◽  
Zhongkuan Liu ◽  
Dongya Liu ◽  
...  

2020 ◽  
Vol 8 ◽  
pp. 2050313X2091002 ◽  
Author(s):  
Umut Selamet ◽  
Ramy M Hanna ◽  
Anthony Sisk ◽  
Lama Abdelnour ◽  
Lena Ghobry ◽  
...  

Drug-induced lupus erythematosus has features distinct from primary systemic lupus erythematosus. It can occur with a wide variety of agents that result in the generation of anti-histone or other types of antibodies. Systemic manifestations of drug-induced systemic lupus erythematosus may include renal dysfunction due to circulating immune complexes or due to other immune reactions to the culprit medication(s). Acute interstitial nephritis occurs due to DNA–drug or protein–drug complexes that trigger an allergic immune response. We report a patient who developed acute kidney injury, rash, and drug-induced systemic lupus diagnosed by serologies after starting chlorthalidone and amiodarone. A renal biopsy showed acute interstitial nephritis and not lupus-induced glomerulonephritis. It is important to note that systemic lupus erythematosus and acute interstitial nephritis can occur together, and this report highlights the role of the kidney biopsy in ascertaining the pathological diagnosis and outlining therapy in drug-induced lupus erythematosus.


2021 ◽  
Vol 10 (2) ◽  
pp. 168
Author(s):  
Anne-Lise Rolland ◽  
Anne-Sophie Garnier ◽  
Katy Meunier ◽  
Guillaume Drablier ◽  
Marie Briet

Background: Acute kidney injury (AKI) is a public health concern. Among the pathological situations leading to AKI, drugs are preventable factors but are still under-notified. We aimed to provide an overview of drug-induced AKI (DIAKI) using pharmacovigilance and medical administrative databases Methods: A query of the PMSI database (French Medical Information System Program) of adult inpatient hospital stays between 1 January 2017 and 31 December 2018 was performed using ICD-10 (International Classification of Diseases 10th revision) codes to identify AKI cases which were reviewed by a nephrologist and a pharmacovigilance expert to identify DIAKI cases. In parallel, DIAKIs notified in the French Pharmacovigilance Database (FPVDB) were collected. A capture-recapture method was performed to estimate the total number of DIAKIs. Results: The estimated total number of DIAKIs was 521 (95%CI 480; 563), representing 20.0% of all AKIs. The notification was at a rate of 12.9% (95%CI 10.0; 15.8). According to the KDIGO classification, 50.2% of the DIAKI cases were stage 1 and 49.8% stage 2 and 3. The mortality rate was 11.1% and 9.6% required hemodialysis. Conclusion: This study showed that drugs are involved in a significant proportion of patients developing AKI during a hospital stay and emphasizes the severity of DIAKI cases.


Sign in / Sign up

Export Citation Format

Share Document