Perioperative ABO Blood Group Isoagglutinin Titer and the Risk of Acute Kidney Injury after ABO-Incompatible Living Donor Liver Transplantation

For ABO-incompatible liver transplantation (ABO-i LT), therapeutic plasma exchange (TPE) is performed preoperatively to reduce the isoagglutinin titer of anti-ABO blood type antibodies. We evaluated whether perioperative high isoagglutinin titer is associated with postoperative risk of acute kidney injury (AKI). In 130 cases of ABO-i LT, we collected immunoglobulin (Ig) G and Ig M isoagglutinin titers of baseline, pre-LT, and postoperative peak values. These values were compared between the patients with and without postoperative AKI. Multivariable logistic regression analysis was used to evaluate the association between perioperative isoagglutinin titers and postoperative AKI. Clinical and graft-related outcomes were compared between high and low baseline and postoperative peak isoagglutinin groups. The incidence of AKI was 42.3%. Preoperative baseline and postoperative peak isoagglutinin titers of both Ig M and Ig G were significantly higher in the patients with AKI than those without AKI. Multivariable logistic regression analysis showed that preoperative baseline and postoperative peak Ig M isoagglutinin titers were significantly associated with the risk of AKI (baseline: odds ratio 1.06, 95% confidence interval 1.02 to 1.09; postoperative peak: odds ratio 1.08, 95% confidence interval 1.04 to 1.13). Cubic spline function curves show a positive relationship between the baseline and postoperative peak isoagglutinin titers and the risk of AKI. Clinical outcomes other than AKI were not significantly different according to the baseline and postoperative peak isoagglutinin titers. Preoperative high initial and postoperative peak Ig M isoagglutinin titers were significantly associated with the development of AKI. As the causal relationship between high isoagglutinin titers and risk of AKI is unclear, the high baseline and postoperative isoagglutinin titers could be used simply as a warning sign for the risk of AKI after liver transplantation.

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Prediction of Acute Kidney Injury after Liver Transplantation: Machine Learning Approaches vs. Logistic Regression Model

Journal of Clinical Medicine ◽

10.3390/jcm7110428 ◽

2018 ◽

Vol 7 (11) ◽

pp. 428 ◽

Cited By ~ 31

Author(s):

Hyung-Chul Lee ◽

Soo Yoon ◽

Seong-Mi Yang ◽

Won Kim ◽

Ho-Geol Ryu ◽

...

Keyword(s):

Machine Learning ◽

Liver Transplantation ◽

Acute Kidney Injury ◽

Logistic Regression ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Kidney Injury ◽

Gradient Boosting ◽

Learning Approaches ◽

Gradient Boosting Machine

Acute kidney injury (AKI) after liver transplantation has been reported to be associated with increased mortality. Recently, machine learning approaches were reported to have better predictive ability than the classic statistical analysis. We compared the performance of machine learning approaches with that of logistic regression analysis to predict AKI after liver transplantation. We reviewed 1211 patients and preoperative and intraoperative anesthesia and surgery-related variables were obtained. The primary outcome was postoperative AKI defined by acute kidney injury network criteria. The following machine learning techniques were used: decision tree, random forest, gradient boosting machine, support vector machine, naïve Bayes, multilayer perceptron, and deep belief networks. These techniques were compared with logistic regression analysis regarding the area under the receiver-operating characteristic curve (AUROC). AKI developed in 365 patients (30.1%). The performance in terms of AUROC was best in gradient boosting machine among all analyses to predict AKI of all stages (0.90, 95% confidence interval [CI] 0.86–0.93) or stage 2 or 3 AKI. The AUROC of logistic regression analysis was 0.61 (95% CI 0.56–0.66). Decision tree and random forest techniques showed moderate performance (AUROC 0.86 and 0.85, respectively). The AUROC of support the vector machine, naïve Bayes, neural network, and deep belief network was smaller than that of the other models. In our comparison of seven machine learning approaches with logistic regression analysis, the gradient boosting machine showed the best performance with the highest AUROC. An internet-based risk estimator was developed based on our model of gradient boosting. However, prospective studies are required to validate our results.

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Elevated De Ritis Ratio as a Predictor for Acute Kidney Injury after Radical Retropubic Prostatectomy

Journal of Personalized Medicine ◽

10.3390/jpm11090836 ◽

2021 ◽

Vol 11 (9) ◽

pp. 836

Author(s):

Jun-Young Park ◽

Jihion Yu ◽

Jun Hyuk Hong ◽

Bumjin Lim ◽

Youngdo Kim ◽

...

Keyword(s):

Risk Factors ◽

Acute Kidney Injury ◽

Logistic Regression ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Roc Curve ◽

Kidney Injury ◽

Radical Retropubic Prostatectomy ◽

Multivariable Logistic Regression Analysis ◽

Retropubic Prostatectomy

Acute kidney injury (AKI) is related to mortality and morbidity. The De Ritis ratio, calculated by dividing the aspartate aminotransferase by the alanine aminotransferase, is used as a prognostic indicator. We evaluated risk factors for AKI after radical retropubic prostatectomy (RRP). This retrospective study included patients who performed RRP. Multivariable logistic regression analysis and a receiver operating characteristic (ROC) curve analysis were conducted. Other postoperative outcomes were also evaluated. Among the 1415 patients, 77 (5.4%) had AKI postoperatively. The multivariable logistic regression analysis showed that estimated glomerular filtration rate, albumin level, and the De Ritis ratio at postoperative day 1 were risk factors for AKI. The area under the ROC curve of the De Ritis ratio at postoperative day 1 was 0.801 (cutoff = 1.2). Multivariable-adjusted analysis revealed that the De Ritis ratio at ≥1.2 was significantly related to AKI (odds ratio = 8.637, p < 0.001). Postoperative AKI was associated with longer hospitalization duration (11 ± 5 days vs. 10 ± 4 days, p = 0.002). These results collectively show that an elevated De Ritis ratio at postoperative day 1 is associated with AKI after RRP in patients with prostate cancer.

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Does Aspartate Aminotransferase to Alanine Aminotransferase Ratio Predict Acute Kidney Injury After Cardiac Surgery?

The Heart Surgery Forum ◽

10.1532/hsf.3849 ◽

2021 ◽

Vol 24 (3) ◽

pp. E506-E511

Author(s):

Yildirim Gultekin ◽

Ali Bolat ◽

Keles Hatice ◽

Atike Tekeli Kunt

Keyword(s):

Acute Kidney Injury ◽

Logistic Regression ◽

Regression Analysis ◽

Cardiac Surgery ◽

Logistic Regression Analysis ◽

Aspartate Aminotransferase ◽

Alanine Aminotransferase ◽

Kidney Injury ◽

Diagnosis And Prognosis ◽

Postoperative Aki

Background: Aspartate aminotransferase (AST) to alanine aminotransferase (ALT) ratio (AST/ALT) frequently is used in the diagnosis and prognosis of liver diseases, however it is also used in the diagnosis and prognosis of many other diseases, such as myocardial infarction, acute ischemic stroke, and peripheral artery disease. Acute kidney injury (AKI) is one of the most important complications after cardiac surgery and is one of the main causes of morbidity and mortality. The purpose of the study was to analyze the relationship between AST to ALT and AKI after isolated coronary artery bypass graft surgery (CABG). Methods: We retrospectively reviewed the prospectively collected data of 253 adult patients, who underwent isolated CABG surgery with normal renal function (baseline serum creatinine value <1.4 mg/dL). Preoperative (T0) and postoperative day 1 and day 3 (T1 and T2) serum AST and ALT levels were analyzed, and AST/ALT was calculated. A preoperative AST/ALT of 1.22 was found to be the best cutoff point for predicting postoperative AKI. Kidney injury was interpreted, according to RIFLE classification. The effect of AST to ALT ratio on AKI after CABG was determined using logistic regression analysis, and the results were expressed as odds ratio (OR) with a 95% confidence interval (CI). A P value < .05 was considered statistically significant. Results: Postoperative AKI occurred in 40 patients (15.8%). On logistic regression analysis, higher AST/ALT both preoperatively and postoperatively were associated with an increased incidence of postoperative AKI (T0: OR, 3.983; 95% CI, 1.940-8.180, P < .001, T1: OR, 2.760; 95% CI, 1.381-5.515, P = .004, T2: OR, 2.515; 95% CI, 1.195-5.294, P = .015). Conclusion: Preoperative and postoperative elevated AST to ALT ratio seems to be associated with an increased incidence of AKI after elective isolated CABG surgery.

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The Influence of Metabolic Syndrome on Acute Kidney Injury Occurrence after Coronary Artery Bypass Grafting

The Heart Surgery Forum ◽

10.1532/hsf.1400 ◽

2016 ◽

Vol 19 (3) ◽

pp. 099 ◽

Cited By ~ 1

Author(s):

Atike Tekeli Kunt ◽

Hakan Parlar ◽

Orhan Findik ◽

Cagri Duzyol ◽

Ozgur Baris ◽

...

Keyword(s):

Metabolic Syndrome ◽

Acute Kidney Injury ◽

Logistic Regression ◽

Regression Analysis ◽

Cardiac Surgery ◽

Artery Bypass ◽

Kidney Injury ◽

Bypass Grafting ◽

Group I ◽

Postoperative Aki

Background: Metabolic syndrome (MetS) is defined as a cluster of systemic abnormalities: hyperglycemia, dyslipidemia, abdominal obesity, and hypertension. Acute kidney injury (AKI) is one of the devastating complications after cardiac surgery. Age, DM, preexisting renal dysfunction, hypertension, impaired left ventricular function, and severe arteriosclerosis of the aorta are the major risk factors for the development of AKI. The purpose of the current study was to analyze the influence of MetS on AKI occurring after coronary artery bypass grafting (CABG).Methods: We retrospectively reviewed the prospectively collected data of 500 adult patients who underwent isolated CABG surgery with normal renal function (baseline serum creatinine value <1.4 mg/dL) from January 2011 to January 2015. The patients were divided into two groups either having the diagnosis of MetS (Group I) or not (Group II). MetS was diagnosed based on International Diabetes Federation definition. Kidney injury was interpreted according to RIFLE classification. The effect of MetS on AKI after CABG was determined using logistic regression analysis and the results were expressed as odds ratio (OR) with a 95% confidence interval (CI). A P value <.05 was considered statistically significant.Results: Metabolic syndrome was diagnosed in 16.4% of all patients. Postoperative AKI occurred in 26 patients (31.7%) in Group I whereas there were 53 patients (12.7%) in Group II. On logistic regression analysis, the presence of MetS was shown to be associated with increased incidence of postoperative AKI (OR, 3.197; 95% CI, 1.850-5.526; P = .000).Conclusion: The presence of MetS seems to be associated with increased incidence of AKI after cardiac surgery. MetS is a modifiable issue; if its components are well controlled its dreadful effects after cardiac surgery might be controlled as well.

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O63: POST-OPERATIVE ACUTE KIDNEY INJURY IN PATIENTS UNDERGOING MAJOR GASTROINTESTINAL SURGERY— AN OBSERVATIONAL COHORT STUDY AND EXTERNAL VALIDATION OF A PROGNOSTIC MODEL

British Journal of Surgery ◽

10.1093/bjs/znab117.063 ◽

2021 ◽

Vol 108 (Supplement_1) ◽

Author(s):

Keyword(s):

Acute Kidney Injury ◽

Logistic Regression ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Cox Regression ◽

Gastrointestinal Surgery ◽

Kidney Injury ◽

One Year ◽

Postoperative Aki

Abstract Introduction Acute kidney injury (AKI) is well-recognised as a significant cause of morbidity and mortality. Due to limited evidence on the longer-term implications, this study aimed to explore the association of postoperative AKI one-year survival and renal function in patients undergoing major gastrointestinal and liver surgery. Method Patients undergoing major gastrointestinal surgery in the prospective Outcomes of Kidney Injury after Surgery (OAKS) study across UK and Ireland were followed up at one-year postoperatively. The primary outcome was survival at 1-year and secondary outcomes included the composite “Major Adverse Kidney Events” outcome at day 365 (MAKE-365), with respective multivariable Cox-regression and logistic regression analysis performed. Result Of 62.2% of OAKS patients (n=3,575/5,745) with 1-year follow-up, there were no significant differences compared to those without follow-up. Among the follow-up cohort, 8.0% (n=269) patients died. On univariate analysis, patients experiencing 7-day postoperative AKI had a significantly higher hazard of death between 30 to 365 days postoperatively (HR: 2.10, 95% CI: 1.50-2.94, p<0.001) compared to patients who did not. This persisted on multivariable Cox-regression (HR: 1.67, 95% CI: 1.17-2.40, p=0.005). Furthermore, 9.1% (n=305) patients met the MAKE-365 endpoint. Multilevel logistic regression analysis demonstrated that the MAKE-365 endpoint was independently associated with both stage 1 (OR: 1.78, 95% CI: 1.22-2.61, p=0.003) and stage 2-3 7-day postoperative AKI (OR: 6.13, 95% CI: 3.97-9.45, p<0.001). Conclusion Post-operative AKI is associated with significantly higher rate of 1-year mortality and MAKE-365 endpoints. Improved monitoring of these patients may be warranted to identify and facilitate potential avenues for intervention Take-home message Post-operative AKI is associated with significantly higher rate of 1-year mortality. Hence, early detection and improved monitoring of patients with AKI with improve long-term outcomes of these patients.

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Platelet Counts, Acute Kidney Injury, and Mortality after Coronary Artery Bypass Grafting Surgery

Anesthesiology ◽

10.1097/aln.0000000000000959 ◽

2016 ◽

Vol 124 (2) ◽

pp. 339-352 ◽

Cited By ~ 43

Author(s):

Miklos D. Kertai ◽

Shan Zhou ◽

Jörn A. Karhausen ◽

Mary Cooter ◽

Edmund Jooste ◽

...

Keyword(s):

Acute Kidney Injury ◽

Coronary Artery ◽

Coronary Artery Bypass Grafting ◽

Odds Ratio ◽

Artery Bypass ◽

Kidney Injury ◽

Bypass Grafting ◽

Cabg Surgery ◽

Platelet Counts ◽

Postoperative Aki

Abstract Background Cardiac surgery requiring cardiopulmonary bypass is associated with platelet activation. Because platelets are increasingly recognized as important effectors of ischemia and end-organ inflammatory injury, the authors explored whether postoperative nadir platelet counts are associated with acute kidney injury (AKI) and mortality after coronary artery bypass grafting (CABG) surgery. Methods The authors evaluated 4,217 adult patients who underwent CABG surgery. Postoperative nadir platelet counts were defined as the lowest in-hospital values and were used as a continuous predictor of postoperative AKI and mortality. Nadir values in the lowest 10th percentile were also used as a categorical predictor. Multivariable logistic regression and Cox proportional hazard models examined the association between postoperative platelet counts, postoperative AKI, and mortality. Results The median postoperative nadir platelet count was 121 × 109/l. The incidence of postoperative AKI was 54%, including 9.5% (215 patients) and 3.4% (76 patients) who experienced stages II and III AKI, respectively. For every 30 × 109/l decrease in platelet counts, the risk for postoperative AKI increased by 14% (adjusted odds ratio, 1.14; 95% CI, 1.09 to 1.20; P < 0.0001). Patients with platelet counts in the lowest 10th percentile were three times more likely to progress to a higher severity of postoperative AKI (adjusted proportional odds ratio, 3.04; 95% CI, 2.26 to 4.07; P < 0.0001) and had associated increased risk for mortality immediately after surgery (adjusted hazard ratio, 5.46; 95% CI, 3.79 to 7.89; P < 0.0001). Conclusion The authors found a significant association between postoperative nadir platelet counts and AKI and short-term mortality after CABG surgery.

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Association between hydroxocobalamin administration and acute kidney injury after smoke inhalation: a multicenter retrospective study

Critical Care ◽

10.1186/s13054-019-2706-0 ◽

2019 ◽

Vol 23 (1) ◽

Cited By ~ 1

Author(s):

François Dépret ◽

Clément Hoffmann ◽

Laura Daoud ◽

Camille Thieffry ◽

Laure Monplaisir ◽

...

Keyword(s):

Acute Kidney Injury ◽

Retrospective Study ◽

Confidence Interval ◽

Odds Ratio ◽

Adjusted Odds Ratio ◽

Kidney Injury ◽

Smoke Inhalation ◽

Logistic Regression Models ◽

Increased Risk ◽

The Impact

Abstract Background The use of hydroxocobalamin has long been advocated for treating suspected cyanide poisoning after smoke inhalation. Intravenous hydroxocobalamin has however been shown to cause oxalate nephropathy in a single-center study. The impact of hydroxocobalamin on the risk of acute kidney injury (AKI) and survival after smoke inhalation in a multicenter setting remains unexplored. Methods We conducted a multicenter retrospective study in 21 intensive care units (ICUs) in France. We included patients admitted to an ICU for smoke inhalation between January 2011 and December 2017. We excluded patients discharged at home alive within 24 h of admission. We assessed the risk of AKI (primary endpoint), severe AKI, major adverse kidney (MAKE) events, and survival (secondary endpoints) after administration of hydroxocobalamin using logistic regression models. Results Among 854 patients screened, 739 patients were included. Three hundred six and 386 (55.2%) patients received hydroxocobalamin. Mortality in ICU was 32.9% (n = 243). Two hundred eighty-eight (39%) patients developed AKI, including 186 (25.2%) who developed severe AKI during the first week. Patients who received hydroxocobalamin were more severe and had higher mortality (38.1% vs 27.2%, p = 0.0022). The adjusted odds ratio (95% confidence interval) of AKI after intravenous hydroxocobalamin was 1.597 (1.055, 2.419) and 1.772 (1.137, 2.762) for severe AKI; intravenous hydroxocobalamin was not associated with survival or MAKE with an adjusted odds ratio (95% confidence interval) of 1.114 (0.691, 1.797) and 0.784 (0.456, 1.349) respectively. Conclusion Hydroxocobalamin was associated with an increased risk of AKI and severe AKI but was not associated with survival after smoke inhalation. Trial registration ClinicalTrials.gov, NCT03558646

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P1573 Late recovery of left ventricular function in patients with non-severe ischemic mitral regurgitation and multivessel disease qualified to cardiosurgery treatment

European Heart Journal - Cardiovascular Imaging ◽

10.1093/ehjci/jez319.993 ◽

2020 ◽

Vol 21 (Supplement_1) ◽

Author(s):

R Piatkowski ◽

J Kochanowski ◽

M Budnik ◽

M Grabowski ◽

P Scislo ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Left Ventricle ◽

Mitral Regurgitation ◽

Odds Ratio ◽

Left Ventricular ◽

Ischemic Mitral Regurgitation ◽

Multivariable Logistic Regression Analysis ◽

Late Recovery

Abstract Late recovery of left ventricular function in patients with non-severe ischemic mitral regurgitation and multivessel disease qualified to cardiosurgery treatment. Purpose In patients (pts) after myocardial infarction (MI) with chronic left ventricle (LV) dysfunction, the presence and degree of ischemic mitral regurgitation (IMR) are predominantly related to LV remodelling and mitral valvular deformation. The aim of this study was to compare functional recovery (LVFR) as well as reverse remodelling of the left ventricle (LVRR) in pts with non-severe IMR qualified for cardiosurgical treatment - coronary artery bypass grafting alone (CABGa) or CABG with mitral repair (CABGmr in the 12-month follow-up. Materials and methods A total of 100 pts (mean age 64,4 ± 7,9 years) after MI, eligible for CABG, were included in a prospective study. Echo and clinical assessment were performed before and 12-months after surgery. Pts were referred for CABG a(gr.1; n = 74) or CABGmr (gr.2; n = 26) based on clinical assessment, 2D echo at rest and exercise and myocardial viability assessment (low dose dobutamine - dbx). Effective regurgitation orifice area (EROA) was used for quantitative IMR assessment. An increase in EF≥ 5% (ΔEF) from baseline value was considered as LVFR. A decrease in LV end-systolic volume > 15% from baseline value was considered as LVRR. Multivariable logistic regression analysis was used to identify the strongest factors of lack of LVFR and LVRR. Results An LVFR was observed, at late control, in 35 (49%) of pts in the CABGa group and in 11 (48%) of pts in CABGmr group (p = 0,948). LVRR was observed in 41 (56%) of pts in the CABGa group and in 16 (70%) of pts in CABGmr group 12 months follow-up (p = 0,5). In pts with LVFR, there was a lower incidence of at least moderate IMR at follow-up (ΔEF dbx≥5% vs ΔEFdbx < 5%:11% vs 30% pts; p = 0,05). Multivariable logistic regression analysis revealed that in both CABGa and CABGmr group only preoperative age and EF changes during stress echo remained the independent predictors of the lack of LVFR in 12 months follow-up (table 1). Conclusions 1. LVFR and LVRR were reported in most of the pts in both analyzed groups. 2. Preoperative assessment of changes EF during dbx (ΔEFdbx)can be used to identify pts with IMR at increased risk of lack of improvement in LV function and risk of residual IMRin 12-month f-up after surgery. Parameters Odds ratio (OR) Odds ratio (OR) p CABGa vs CABGmr 0,644 0,215 - 1,927 0,432 Age (increase by every 5 years) 1,11 1,039 - 1,879 0,003 ΔEF dbx (increase by every 5%) 0,21 0,096 - 0,46 <0,001 Table 1. Prognostic factors lack improvement in left ventricle function.

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Acute kidney injury calculated using admission serum creatinine underestimates 30-day and 1-year mortality after acute stroke

Clinical Kidney Journal ◽

10.1093/ckj/sfz049 ◽

2019 ◽

Vol 13 (1) ◽

pp. 46-54

Author(s):

Julia Arnold ◽

Don Sims ◽

Paramjit Gill ◽

Paul Cockwell ◽

Charles Ferro

Keyword(s):

Risk Factors ◽

Acute Kidney Injury ◽

Confidence Interval ◽

Serum Creatinine ◽

Acute Stroke ◽

Odds Ratio ◽

Kidney Injury ◽

Regression Analyses ◽

Mortality Hazard ◽

Mortality Hazard Ratio

AbstractBackgroundAcute kidney injury (AKI) diagnosis requires ascertainment of change from a known baseline. Although pre-admission serum creatinine (SCr) is recommended, to date, all studies of AKI in acute stroke have used the first SCr on admission.MethodsAll patients admitted with an acute stroke to an emergency hospital were recruited. We compared use of pre-admission SCr with admission SCr to diagnose AKI. Regression analyses were used to identify risk factors for 30-day and 1-year mortality, respectively.ResultsA total of 1354 patients were recruited from December 2012 to September 2015. Incidence of AKI was 18.7 and 19.9% using pre-admission SCr and admission SCr, respectively. Diagnosis of AKI was associated with significantly increased 30-day and 1-year mortality. Diagnosis of AKI using pre-admission SCr had a stronger relationship with both 30-day and 1-year mortality. In 443 patients with a pre-admission SCr and at least two SCr during admission, AKI diagnosed using pre-admission SCr had a stronger relationship than AKI diagnosed using admission SCr with 30-day mortality [odds ratio (OR) = 2.64; 95% confidence interval (CI) 1.36–5.12; P = 0.004 versus OR = 2.10; 95% CI 1.09–4.03; P = 0.026] and 1-year mortality [hazard ratio (HR) = 1.90, 95% CI 1.32–2.76; P = 0.001 versus HR = 1.47; 95% CI 1.01–2.15; P = 0.046] in fully adjusted models.ConclusionsAKI after stroke is common and is associated with increased 30-day and 1-year mortality. Using first SCr on admission gives a comparable AKI incidence to pre-admission SCr, but underestimates 30-day and 1-year mortality risk.

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How Reliable Is Automated Urinalysis in Acute Kidney Injury?

Laboratory Medicine ◽

10.1093/labmed/lmaa069 ◽

2020 ◽

Author(s):

Vani Chandrashekar ◽

Anil Tarigopula ◽

Vikram Prabhakar

Keyword(s):

Acute Kidney Injury ◽

Logistic Regression ◽

Regression Analysis ◽

Epithelial Cells ◽

Logistic Regression Analysis ◽

Blood Cells ◽

White Blood Cells ◽

Kidney Injury ◽

Tubular Epithelial Cells ◽

Spearman Test

Abstract Objective Examination of urine sediment is crucial in acute kidney injury (AKI). In such renal injury, tubular epithelial cells, epithelial cell casts, and dysmorphic red cells may provide clues to etiology. The aim of this study was to compare automated urinalysis findings with manual microscopic analysis in AKI. Methods Samples from patients diagnosed with AKI and control patients were included in the study. Red blood cells, white blood cells, renal tubular epithelial cells/small round cells, casts, and pathologic (path) cast counts obtained microscopically and by a UF1000i cytometer were compared by Spearman test. Logistic regression analysis was used to assess the ability to predict AKI from parameters obtained from the UF1000i. Results There was poor correlation between manual and automated analysis in AKI. None of the parameters could predict AKI using logistic regression analysis. However, the increment in the automated path cast count increased the odds of AKI 93 times. Conclusion Automated urinalysis parameters are poor predictors of AKI, and there is no agreement with manual microscopy.

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