Year :
2022
| Month :
September
| Volume :
16
| Issue :
9
| Page :
BC15 - BC19
Full Version
Hypoalbuminaemia and Blood Urea Nitrogen/Creatinine Ratio as Early Markers of Acute Kidney Injury in Postoperative Cardiac Patients- A Prospective Study
Published: September 1, 2022 | DOI: https://doi.org/10.7860/JCDR/2022/57536.16908
KA Arul Senghor, Kopuri Manohar, VM Vinodhini, P Renuka
1. Professor, Department of Biochemistry, SRM Medical College Hospital and Research Centre, Chennai, Tamil Nadu, India.
2. Postgraduate Student, Department of Biochemistry, SRM Medical College Hospital and Research Centre, Chennai, Tamil Nadu, India.
3. Professor and Head, Department of Biochemistry, SRM Medical College Hospital and Research Centre, Chennai, Tamil Nadu, India.
4. Professor, Department of Biochemistry, SRM Medical College Hospital and Research Centre, Chennai, Tamil Nadu, India.
Correspondence Address :
Dr. KA Arul Senghor,
Department of Biochemistry, SRM Medical College Hospital and Research Centre, Kattankulathur, Chennai, Tamil Nadu, India.
E-mail: arulsenk@srmist.edu.in
Abstract
Introduction: Postoperative Acute Kidney Injury (AKI) occurs as the consequence of intraoperative risk factors associated with cardiac surgery. Biochemical monitoring of patients undergoing cardiac surgery enables early detection of AKI. Serum albumin and Blood Urea Nitrogen (BUN): creatinine ratio serves as a simple tool for identifying increased risk of AKI.
Aim:To determine serum albumin and the BUN: creatinine ratio as a predictive tool for AKI risk in patients undergoing cardiac surgery.
Materials and Methods: The present prospective observational study was conducted at Cardio Thoracic super specialty unit of SRM Medical College Hospital and Research Centre, Chennai, Tamil Nadu, India, between July 2020 to March 2021. A total of 30 patients undergoing coronary artery bypass grafting in the age group between 40 to 70 years with normal serum creatinine levels were included. Preoperative and postoperative parameters such as urea, creatinine, total protein, serum albumin, BUN: creatinine ratio and estimated Glomerular Filtration Rate (eGFR) were calculated. Data were analysed statistically by Analysis of Variance (ANOVA) and Student’s t-test.
Results: In present study, 24 (80%) were males and 6 (20%) were females. The mean age of the male and female patients was 57±0.72 years and 55.3±0.81 years respectively. Mean BUN: creatinine ratio was decreased on day 1 (16±0.78) and day 3 (8.19±0.87) postoperative phase as compared to preoperative day (14±0.63). Compared with preoperative albumin (3.65±0.1 g/dL), hypoalbuminaemia was found on first and third postoperative day, (3.07±0.05 and 3.04±0.05 g/dL) respectively. With Receiver Operating Characteristic (ROC) curve analysis, Area Under the Curve (AUC) for albumin and BUN: creatinine ratio was 0.72 and 0.67 which revealed the diagnostic sensitivity of 86% and 78% respectively. On day 3 postoperative eGFR fell by 12.5%, indicating a danger of kidney injury.
Conclusion: Hypoalbuminaemia and BUN: Creatinine ratio are simple biochemical tools to predict AKI in postoperative phase after cardiac surgery.
Keywords
Biochemical tools, Coronary artery bypass grafting, Renal injury
Introduction
AKI is defined as an abrupt decrease in kidney function, which encompasses both structural damage and loss of function (1). AKI results as a consequence of sepsis, ischaemia, nephrotoxicity that challenges clinical decision. AKI is frequently asymptomatic and diagnosed until hospitalised patients' biochemical monitoring reveals a increase in blood urea and serum creatinine values (2).
In India, the incidence of AKI was 17.3 cases among 1000 persons. The prevalence of AKI in critically ill patients admitted in intensive care units with sepsis is more than 40% and the incidence of mortality is 15-60% (3). According to the National Institute for Health and Care Excellence guidelines the criteria for assessing AKI in the patients during postoperative phase are (i) rise of serum creatinine of 0.29 mg/dL within 48 hours (ii) 25% fall in eGFR within 7 days (4). Urine albumin creatinine excretion has been recommended a reliable marker for early detection of renal impairment and diffuse endothelial dysfunction and can be used to identify people who are at higher risk (5). Any patients undergoing open heart surgery will have to stay in the intensive care unit after the cardiac surgery for 3 to 4 days and total length of stay in the hospital is approximately 7 to 10 days. It was observed that patients admitted for longer duration of stay have enhanced risk of AKI with associated complex renal outcome (6).
The main function of circulating albumin is to maintain the plasma oncotic pressure. The prime important function of albumin is to protect renal function by elevating oncotic pressure. In fact continued renal blood perfusion favours the continuation of renal perfusion and facilitates maintaining the glomerular filtration (7). The BUN/creatinine ratio is the ratio of two serum laboratory values, BUN and serum creatinine. Interpretation of BUN:creatinine reflects acute prerenal failure when BUN/Creatinine ratio > 20 : 1; and acute renal failure when BUN/Creatinine ratio <20: 1 (8). Kidney’s filtration rate called as GFR, shows how well the kidneys are filtering. Most of the studies were retrospective analysis of the data that had utilised albumin cut-off value of 4 g/dL to predict survival rate (9), ventilation support (10) and overall mortality (11). In this research study, so as to predict AKI in postoperative phase, cut-off value of albumin levels and BUN:creatinine ratio was evaluated which are simple tool to identify the patients who need better postoperative care after cardiac surgery.
In this context, serum albumin levels and BUN:creatinine ratio were used as tools to predict the risk of early renal impairment in critically ill patients (12). Thus simple available tool is the need of the hour for early prediction of renal AKI thereby therapeutic plan is initiated and risk or progression of AKI is monitored. The aim of present study was to evaluate the diagnostic performance of serum albumin and BUN:creatinine ratio as markers of AKI in patients undergoing cardiac surgery.
Material and Methods
The present prospective study was conducted at Cardio Thoracic super specialty unit of the SRM Medical College Hospital and Research Centre, Chennai, Tamil Nadu, India, from July 2020 to March 2021. The study protocol was followed in accordance with the approval of the Institutional Ethics Committee (IEC) (JEC NO- 1884/IEC/2019). The research protocol was described to the participants and the study commenced with the informed written consent.
Inclusion criteria: Patients aged between 40-70 years, admitted for Coronary artery Bypass Grafting and patients with serum creatinine value <1.3 mg/dL (13), with history of diabetes, hypertension or both were included.
Exclusion criteria: Patients with chronic renal failure or serum creatinine >1.3 mg/dL and liver diseases were excluded.
Sample size calculation: Sample size was calculated based on the albumin levels in AKI (3.6; 0.47) g/dL and non AKI patients (4.1; 0.48 g/dL) from previous study (14).
(Z1-α/2 + Z1-β)2 (SD1 + SD2)2 / (m1-m2)2=30 participants. Participants were recruited by convenient sampling technique.
Data collection: Preoperative baseline details of all the patients such as age, body mass index, and history of diabetes and hypertension, previous incidence of myocardial infarction and use of any medications were noted in the documentation sheet on the day of admission.
The routine biochemical investigations were done preoperatively followed by cardiac surgery then postoperatively ly on day 1 and day 3 (third postoperative day reflects the exact postoperative phase compared to first postoperative that reflects the stress after surgery) to monitor the patients. The data were recorded in excel sheet that included the day of admission, length of stay after surgery, complications and details of discharge.
Venous sample of 3 mL was collected in red color capped vacutainer tubes. The biochemical parameters: blood urea, serum creatinine, total protein, serum albumin, urine albumin creatinine ratio were analysed in the autoanalyser Beckman Coulter AU 480 using dedicated standardised reagents. Spot midstream urine sample was collected in 50 mL sterile urine container to analyse urine albumin creatinine ratio. (Table/Fig 1) shows biochemical test method with normal range in various parameters (15),(16),(17),(18).
The participants were categorised based on urine albumin creatinine ratio to assess the severity of renal dysfunction r <10 μg/mg of creatinine (n=5), medium > 10 - <30 μg/mg of creatinine (n=9), high > 30 μg/mg of creatinine (n=16). Also based on eGFR the participants were categorised as <60 mL and ≥ 60 mL/min of eGFR (18).
Statistical Analysis
Statistical Package for the Social Sciences (SPSS) software version 25.0 was utilised for analysis of data. Students t-test was used to compare the biochemical parameters between the groups. The data were expressed in mean and standard error of mean. ANOVA was utilised for comparison of the data between preoperative and postoperative data. ROC curve analysis was done to determine the diagnostic performance of the analyte of interest.
Results
Demographic data of 30 patients admitted for coronary artery bypass grafting revealed that in present study 24 (80%) were male and 6 (20%) were female. The mean age of the male and female patients were 57±0.72 years and 55.3±0.81 years respectively.
Duration of hospital stay was more than 10 days-2 weeks in 23 (76.67%) participants whereas the duration of hospital stay was below 10 days in 5 (16.67%). 2 (6.66%) patients were admitted in the Cardiac intensive care unit for one month duration. 24 (80%) participants were diabetic, 2 (6.67) were hypertensive and 4 (13.33%) had both diabetes and hypertension (Table/Fig 2).
Preoperative BUN (11.83±0.03 mg/dL) was compared with first postoperative phase (14.36±0.06 mg/dL) and third postoperative phase (13.61±1.02 mg/dL), which was not significant statistically (p-value=0.112). Serum creatinine was found to be elevated on first (0.93±0.04 mg/dL) and third (1.63±0.04 mg/dL) postoperative day as compared to preoperative day (0.84±0.03 mg/dL) and this difference was statistically significant (p-value<0.001). BUN:Cr ratio levels decreased on postoperative day 3 (8.19±0.87), in comparison to preoperative day (14±0.63) and 1st postoperative day (16±0.78) and was found to be statistically significant (p-value <0.001). On comparison with baseline albumin (3.65±0.10 g/dL), third postoperative day albumin level was found to be decreased (3.04±0.05 g/dL) with p-value <0.0001 (Table/Fig 3).
(Table/Fig 4) represents the analysis of biochemical parameters of third postoperative day between the severity categories of urine albumin creatinine ratio (uACR). In the participants with high uACR level the albumin level was decreased (2.8±0.06 g/dL) in comparison to medium (3.17±0.04 g/dL) and low level of uACR (3.4±0.06 g/dL) (p-value <0.0001). BUN:creatinine ratio was also found to be decreased (7.72±0.9) in patients with high uACR level as compared to medium (16±1.53) and low level of uACR (14.83±2.68), p-value <0.0001.
Serum albumin level was decreased (3.04±0.05 g/dL) in the participants with eGFR <60 ml/min in comparison to patients with eGFR >60 (3.65±0.2 g/dL) (p-value <0.0001). uACR was found to be elevated (30.9±4.25 g/dL) in the participants with eGFR <60 ml/min, as compared to patients with eGFR >60 (17.5±3.03) (p-value=0.006) (Table/Fig 5).
Further diagnostic performance revealed at a cut-off value for albumin of 2.85 g/dL with the area under of curve as 0.72 (Table/Fig 6) had a diagnostic sensitivity of 86%. Whereas BUN: Creatinine ratio at a cut-off value of 12.5 revealed diagnostic sensitivity of 78% (Table/Fig 7).
Discussion
Decreased concentration of serum albumin and BUN:Creatinine ratio have diagnostic importance to identify individuals with AKI risk in cardiac surgery patients. AKI is characterized by abrupt decline in kidney function over a period of hours to days irrespective of the underlying aetiology (19). Albuminuria is considered as an ideal parameter to assess kidney function expressed as urine albumin creatinine ratio. Infact it is used to monitor the damage caused to renal tubulo interstitial tissue. There are research studies in concordance with this work in support to preoperative hypoalbuminaemia as diagnostic tool in cardiac patients to develop AKI and increased complication rate (20). The need of the hour is to provide timely and reliable result that enables potential early interventions to overcome AKI following cardiac surgery.
One of the common postoperative complications is AKI that occurs as the individual is exposed to risk factors during intraoperative period. The prognosis of the patients is determined by the successful follow-up of the patient after cardiac surgery. Patient with AKI are more prone to develop kidney disease and is considered as an adverse outcome after cardiac surgery (21).
This study is a unique prospective study that evaluated BUN:Creatinine ratio and serum albumin as predictor tool of acute kidney injury. This prospective study evaluated serum albumin, BUN: Creatinine ratio, urine ACR and e GFR during (based on Cockcroft’s formula) preoperative and postoperative phase in cardiac patients. As the duration of stay of the participants was prolonged especially in the intensive care unit had presented with lowered serum albumin and elevated urine albumin creatinine excretion. The statement is in concordance with the fact that longer hospital stay would increase the risk of AKI and worsened short-term mortality (22). Most of the diabetic patients got admitted for coronary artery bypass grafting and diabetic patients with hypoalbuminaemia have increased risk to develop post-operative acute kidney injury, thus preoperative serum albumin is an important determinant of morbidity and mortality (23).
Present study evaluated the benefit of the routine biochemical analytes serum albumin, BUN: creatinine ratio to assess the functioning of kidney and estimate GFR. These simple parameters are identified as predictors of AKI. The individuals who have undergone cardiac surgery, the serum albumin levels were found to be lowered on first and third operative period.
Plasma proteins have a vital biological function in maintaining the plasma oncotic pressure. Especially in cardiac patients albumin maintains the renal perfusion and rate of glomerular filtration. In a research study conducted during intra-operated patients with albumin infusion undergoing coronary artery bypass grafting found lowered incidence (13.7%) of AKI in patients compared to patients without albumin infusion (25.7%) (24).
Researcher Findik O et al., revealed that diabetic patients with decreased serum albumin levels <3.5 g/dL is considered as an independent risk factor of AKI after isolated Coronary artery bypass grafting (25). In another study, proteinuria was observed in postoperative period as a result of increased vascular resistance in the micro vascular network and decreased coronary flow reserve (26). Surgical stress was quantitated in a study with serum albumin levels of 3.38 g/dL were correlated with length of stay and postoperative complications. Thus decrease in serum albumin concentration reflects the magnitude of systemic inflammatory response to surgery (27).
It is directly apparent that decreased albumin concentration with increased urine albumin creatinine ratio by 50.9% in the patients who had e GFR rate <60 ml/min on first postoperative day and also on third postoperative period. Urea is the nitrogen containing compound formed in the liver and eliminated by the kidneys. BUN values are elevated in prerenal causes with BUN: creatinine ratio close to 30:1; whereas in renal diseases it is close to 10:1. The diagnostic tool BUN: Creatinine ratio differentiates prerenal and intrinsic renal damage (28).
In the current study BUN: Creatinine ratio was decreased in the individuals after cardiac surgery. BUN: Creatinine ratio aids to differentiate the aetiology of AKI that directs either prerenal or intrinsic renal damage. It is one of the diagnostic tool for the emergency medicine physician, as studied in this research work was found to be decreased in the individuals with AKI which points to true postoperative AKI.
In a multicentre cohort study conducted in critically ill patients with AKI, the diagnostic performance of fractional excretion of urea was found to b 0.59 with sensitivity of 63% and specificity of 54% with no statistical significance (29). As a result of impaired proximal tubular function the filtered albumin is not reabsorbed and leads to higher levels of excretion of proteins after the episode of AKI as reflected by lowered glomerular filtration rate (30). The severity of AKI is related to decrease in estimated glomerular filtration rate which determines the need of dialysis as supported by ARIC study (Atherosclerosis Risk in community) (31).
ROC curve analysis against serum albumin levels with GFR to determine the risk of AKI revealed that at the cut-off value of 2.85 g/dL the sensitivity, specificity and area under curve for prediction of AKI was found with high significance of 86%, 67% and 0.72, respectively with p-value of 0.0006. This current study is in concordance with the retrospective study, where preoperative albumin levels <3.75 g/dl were associated with postoperative stage 3 AKI and hypoalbuminaemia revealed statistical association with risk of AKI (32). The findings in the current study well matched with a retrospective single centered study that demonstrated early postoperative albumin cut-off of 2.9 g/dl as an independent risk factor for AKI (33).
BUN: Creatinine ratio at the cut-off value of 12.5 is the predictor of AKI with sensitivity and specificity of 78% and 60% respectively, p 0.013. Lee EH et al., findings are in concordance with the fact that hypoalbuminaemia and BUN: Creatinine ratio are ideal tools that predicts the risk of renal dysfunction as revealed in the patients during postoperative phase (34). In contrast to this study, the retrospective study conducted in patients admitted in the emergency department by Manoeuvrier G et al., the BUN: Creatinine ratio had area under curve of 0.55 and found no statistical difference (35). Thus it was not considered as a reliable parameter to differentiate prerenal AKI from intrinsic AKI.
The current study points to the evaluation of the albumin levels that reflects the individuals at risk for AKI and analysis of BUN:creatinine ratio can be considered as a diagnostic tool to determine the prerenal or renal cause of AKI.
Limitation(s)
This research work had certain limitations such as intraoperative analysis of the analytes was not possible, likewise couldn’t carry out follow-up investigations after discharge and advanced biomarkers of AKI were not utilised considering the fact that we should be able identify the risk in postoperative cardiac patients with the best available simple tools.
Conclusion
Preoperative and postoperative hypoalbuminaemia is an independent determinant for development of AKI in patient undergoing cardiac surgery. Thus the risk of AKI during postoperative phase can be identified with monitoring of simple diagnostic analytes such as BUN: Creatinine ratio and albumin levels. This study can be further hypothesised with urinary markers and determine the progress of AKI thereby approach to prevention and treatment can be opted.
Acknowledgement
The authors thank the participants of the research study.
Reference
| 1. | Makris K, Spanou L. Acute kidney injury: Definition, pathophysiology and clinical and phenotypes. Clin Biochem Rev. 2016;37(2):85-98.
| 2. | Bjornstad EC, Muronya W, Smith ZH, Gibson K, Mottl AK, Charles A, et al. Incidence and epidemiology of acute kidney injury in a pediatric Malawian trauma cohort: A prospective observational study. BMC Nephrol. 2020;21(1):98.
[ CrossRef] [ PubMed] | 3. | Vikrant S, Gupta D, Singh M. Epidemiology and outcome of acute kidney injury from a tertiary care hospital in India. Saudi J Kidney Dis Transpl. 2018;29(4):956-66.
[ CrossRef] [ PubMed] | 4. | Acute kidney injury: Prevention, detection and management. NICE guideline Published: 18 December 2019. www.nice.org.uk/guidance/ng148.
| 5. | Huan L, Yuezhong L, Chao W, HaiTao T. The urine albumin-to-creatinine ratio is a reliable indicator for evaluating complications of chronic kidney disease and progression in IgA nephropathy in China. Clinics (Sao Paulo). 2016;71(5):243-50.
[ CrossRef] | 6. | Bell JS, James BD, Al-Chalabi S, Sykes L, Kalra PA, Green D, et al. Community- versus hospital-acquired acute kidney injury in hospitalised COVID-19 patients. BMC Nephrol. 2021;22(1):269.
[ CrossRef] [ PubMed] | 7. | Wiedermann CJ, Wiedermann W, Joannidis M. Hypoalbuminemia and acute kidney injury: A meta-analysis of observational clinical studies. Intensive Care Med. 2010;36(10):1657-65.
[ CrossRef] [ PubMed] | 8. | Suganya R, Priya S, Samuel TR, Rajagopalan B. A study to evaluate the role of Bun/creatinine ratio as a discriminator factor in azotemia. Int J Pharama Sci Rev Res. 2016;40(1):131-34.
| 9. | Bhamidipati CM, LaPar DJ, Mehta GS, Kern JA, Upchurch GR Jr, Kron IL, et al. Albumin is a better predictor of outcomes than body mass index following coronary artery bypass grafting. Surgery. 2011;150(4):626-34.
[ CrossRef] [ PubMed] | 10. | Arif R, Seppelt P, Schwill S, Kojic D, Ghodsizad A, Ruhparwar A, et al. Predictive risk factors for patients with cirrhosis undergoing heart surgery. Ann Thorac Surg. 2012;94(6):1947-52.
[ CrossRef] [ PubMed] | 11. | Koertzen M, Punjabi P, Lockwood G. Pre-operative serum albumin concentration as a predictor of mortality and morbidity following cardiac surgery. Perfusion. 2013;28(5):390-94.
[ CrossRef] [ PubMed] | 12. | Sujino Y, Nakano S, Tanno J, Shiraishi Y, Goda A, Mizuno A, et al. Clinical implications of the blood urea nitrogen/creatinine ratio in heart failure and their association with haemoconcentration. ESC Heart Fail. 2019;6(6):1274-82.
[ CrossRef] [ PubMed] | 13. | Metra M, Cotter G, Senger S, Edwards C, Cleland JG, Ponikowski P, et al. Prognostic significance of creatinine increases during an acute heart failure admission in patients with and without residual congestion: A post hoc analysis of the PROTECT data. Circ Heart Fail. 2018;11(5):e004644.
[ CrossRef] [ PubMed] | 14. | Aksoy R, Adademir T, Yilmaz E, Cevirme D, Sengor M, Koksal C, et al. Is hypoalbuminemia a predictor for acute kidney Injury after coronary bypass grafting in diabetes mellitus patients? Braz J Cardiovasc Surg. 2019;34(5):565-71.
[ CrossRef] [ PubMed] | 15. | Carl A Burtis and David E Bruns. Tietz fundamentals of Clinical Chemistry and Molecular Diagnostics. 7th, Elsevier Saunders. 2015;953-81.
| 16. | Kaydu A, Gokcek E. Inferior vena cava diameter measurements and BUN/creatinine values to determine dehydration in patients with hip fractures preoperatively: A prospective observational study. Medicine (Baltimore). 2019;98(17):e15197.
[ CrossRef] [ PubMed] | 17. | Weaver RG, James MT, Ravani P, Weaver CGW, Lamb EJ, Tonelli M, et al. Estimating urine albumin-to-creatinine ratio from protein-to-creatinine ratio: Development of equations using same-day measurements. J Am Soc Nephrol. 2020;31(3):591-01.
[ CrossRef] [ PubMed] | 18. | Delanaye P, Pottel H, Botev R, Inker LA, Levey AS. Con: Should we abandon the use of the MDRD equation in favour of the CKD-EPI equation? Nephrol Dial Transplant. 2013;28:1396-03.
[ CrossRef] [ PubMed] | 19. | Saxena A, Meshram SV. Predictors of mortality in acute kidney injury patients admitted to medicine intensive care unit in a rural tertiary care hospital. Indian J Crit Care Med: 2018;22(4):231-37.
[ CrossRef] [ PubMed] | 20. | Korbut AI, Klimontov VV, Vinogradov IV, Romanov VV. Risk factors and urinary biomarkers of non-albuminuric and albuminuric chronic kidney disease in patients with type 2 diabetes. World J Diabetes. 2019;10(11):517-33.
[ CrossRef] [ PubMed] | 21. | Rahmanian PB, Kwiecien G, Langebartels G, Madershahian N, Wittwer T, Wahlers T. Logistic risk model predicting postoperative renal failure requiring dialysis in cardiac surgery patients. Eur J Cardiothorac Surg. 2011;40(3):701-07.
[ CrossRef] [ PubMed] | 22. | Rodrigues FB, Bruetto RG, Torres US, Otaviano AP, Zanetta DM, Burdmann EA, et al. Incidence and mortality of acute kidney injury after myocardial infarction: A comparison between KDIGO and RIFLE criteria. PLoS One. 2013;8(7):e69998.
[ CrossRef] [ PubMed] | 23. | Honore PM, Redant S, Moorthamers S, Preseau T, Kaefer K, Gutierrez LB, et al. Each decrease of 1.0 g/dL of serum albumin was associated with increased odds of AKI: Beware of some potential confounders. J Crit Care. 2021;66:146-14.
[ CrossRef] [ PubMed] | 24. | Li N, Qiao H, Guo JF . Preoperative hypoalbuminemia was associated with acute kidney injury in high-risk patients following non-cardiac surgery: A retrospective cohort study. BMC Anesthesiol. 2019;19:171.
[ CrossRef] [ PubMed] | 25. | Findik O, Aydin U, Baris O, Parlar H, Alagoz GA, Ata Y, et al. Preoperative low serum albumin levels increase the requirement of renal replacement therapy after cardiac surgery. The Heart Surgery Forum. 2016;19(3):E123-E127.
[ CrossRef] [ PubMed] | 26. | Labgaa I, Joliat GR, Kefleyesus A, Mantziari S, Schäfer M, Demartines, et al. Is postoperative decrease of serum albumin an early predictor of complications after major abdominal surgery? A prospective cohort study in a European centre. BMJ Open. 2017;7(4):e013966.
[ CrossRef] [ PubMed] | 27. | Hübner M, Mantziari S, Demartines N, Pralong F, Coti-Bertrand P, Schäfer M. Postoperative albumin drop is a marker for surgical stress and a predictor for clinical outcome: A pilot study. Gastroenterology Research and Practice. 2016;8743187.
[ CrossRef] [ PubMed] | 28. | Uchino S, Bellomo R, Goldsmith D. The meaning of the blood urea nitrogen/creatinine ratio in acute kidney injury. Clin Kidney J. 2012;5(2):187-91.
[ CrossRef] [ PubMed] | 29. | Darmon M, Vincent F, Dellamonica J, Schortgen F, Gonzalez F, Das V, et al. Diagnostic performance of fractional excretion of urea in the evaluation of critically ill patients with acute kidney injury: A multicenter cohort study. Crit Care. 2011;15:R178.
[ CrossRef] [ PubMed] | 30. | Hsu CY, Hsu RK, Liu KD, Yang J, Anderson A, Chen J, et al. Impact of AKI on urinary protein excretion: Analysis of two prospective cohorts. JASN. 2019;30(7):1271-28.
[ CrossRef] [ PubMed] | 31. | Rebholz CM, Coresh J, Ballew SH, McMahon B, Whelton SP, Selvin E, et al. Kidney Failure and ESRD in the Atherosclerosis Risk in Communities (ARIC) study: Comparing ascertainment of treated and untreated kidney failure in a cohort study. Am J Kidney Dis. 2015;66(2):231-39.
[ CrossRef] [ PubMed] | 32. | Shin KH, Han SB. Early postoperative hypoalbuminemia is a risk factor for postoperative acute kidney injury following hip fracture surgery. Injury. 2018;49(8):1572-76.
[ CrossRef] [ PubMed] | 33. | Zeng JF, Chen SQ, Ye JF, Chen Y, Lei L, Liu XQ, et al. A simple risk score model for predicting contrast-induced nephropathy after coronary angiography in patients with diabetes. Clin Exp Nephrol. 2019;23(7):969-81.
[ CrossRef] [ PubMed] | 34. | Lee EH, Kim WJ, Kim JY, Chin JH, Choi DK, Sim JY, et al. Effect of exogenous albumin on the incidence of postoperative acute kidney injury in patients undergoing off- pump coronary artery bypass surgery with a preoperative albumin level of less than 4.0 g/dl. Anesthesiology. 2016;124(5):1001-11.
[ CrossRef] [ PubMed] | 35. | Manoeuvrier G, Bach-Ngohou K, Batard. Diagnostic performance of serum blood urea nitrogen to creatinine ratio for distinguishing prerenal from intrinsic acute kidney injury in the emergency department. BMC Nephrol. 2017;18:173. [ CrossRef] [ PubMed] |
DOI: 10.7860/JCDR/2022/57536.16908
Date of Submission: May 03, 2022
Date of Peer Review: May 26, 2022
Date of Acceptance: Jun 21, 2022
Date of Publishing: Sep 01, 2022
AUTHOR DECLARATION:
• Financial or Other Competing Interests: None
• Was Ethics Committee Approval obtained for this study? Yes
• Was informed consent obtained from the subjects involved in the study? Yes
• For any images presented appropriate consent has been obtained from the subjects. NA
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