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Acute kidney injury in hospitalized patients who underwent percutaneous kidney biopsy for histological diagnosis of their renal disease

Abstract

Background

Performing a kidney biopsy is necessary to accurately diagnose diseases such as glomerulonephritis and tubulointerstitial nephritis, among other such conditions. These conditions predispose patients to chronic kidney disease, as well as acute kidney injury (AKI). Notably, most epidemiological studies describing AKI have not investigated this patient population.

Methods

Included patients admitted to the nephrology ward of a tertiary hospital who underwent percutaneous kidney biopsy. AKI was diagnosed based on the Kidney Disease: Improving Global Outcomes criteria.

Results

Of the 223 patients investigated, 140 (62.8%) showed AKI. Of these, 91 (65%), 19 (13.6%), and 30 (21.4%) presented with AKI classified as stages 1, 2, and 3, respectively. The primary indication for performing biopsy was nephrotic syndrome or nephrotic proteinuria (73 [52.1%] in the AKI vs. 51 [61.4%] in the non-AKI group, p = 0.048). Focal segmental glomerulosclerosis was the most prevalent primary disease (24 [17.1%] in the AKI vs. 15 [18.0%] in the non-AKI group, p = 0.150). Multivariate analysis of risk factors associated with AKI showed hemoglobin levels (odds ratio [OR] 0.805, 95% confidence interval [CI] 0.681–0.951, p = 0.011), serum high-density lipoprotein cholesterol levels (HDL-c, OR 0.970, 95% CI 0.949–0.992, p = 0.008), and baseline serum creatinine levels (OR 2.703, 95% CI 1.471–4.968, p = 0.001) were significantly associated with AKI.

Conclusions

We observed a high prevalence of AKI in hospitalized patients who underwent kidney biopsy to investigate their renal disease, particularly glomerulonephritis. Higher levels of hemoglobin and serum HDL-c were associated with a lower risk of AKI.

Peer Review reports

Background

Acute kidney injury (AKI) is a risk factor for the development of chronic kidney disease (CKD) and chronic end-stage renal disease (ESRD). AKI is also associated with increased short- and long-term mortality rates [1]. AKI is a complex and heterogeneous clinical syndrome observed mainly in elderly patients with several comorbidities. These patients are usually admitted to intensive care units (ICU), and AKI is primarily attributed to sepsis in such cases [2]. Percutaneous renal biopsy is usually contraindicated in these patients to prevent complications, and they are usually diagnosed with “acute tubular necrosis”.

In contrast, some kidney diseases such as glomerulonephritis and tubulointerstitial nephritis, among other such clinical conditions require histopathological analysis of kidney tissue specimens to accurately determine diagnosis, disease activity and chronicity [3, 4]. Notably, most epidemiological studies have investigated patients with AKI have not included this patient population in the analysis. For example, a meta-analysis analyzed the worldwide incidence of AKI observed that studies primarily included patients admitted to the ICU and those who underwent cardiac surgery [5].

Therefore, we investigated the prevalence and risk factors associated with AKI in hospitalized patients who underwent kidney biopsy for histopathological diagnosis.

Methods

Study design and patients

This was a retrospective cohort study, included patients admitted to the Nephrology ward of Hospital São Paulo, Universidade Federal de São Paulo, São Paulo, Brazil. Patients were eligible if submitted to percutaneous kidney biopsy performed with aged ≥16 years as indicated by the nephrologists. Exclusion criteria were kidney transplant recipients. In our center, all percutaneous native kidney biopsies were performed in patients admitted exclusively to the nephrology ward. We did not perform native kidney biopsy in outpatient setting. Data were obtained, between January 2008 and December 2014, from patients’ medical records and the electronic hospital database. The follow-up period underwent 12-month after the kidney biopsy.

Demographic and clinical data

We analyzed the following variables: age, sex, race, body mass index (BMI), major comorbidities such as hypertension, diabetes mellitus (DM), cancer, cardiovascular disease (CVD including heart failure, coronary artery disease, stroke, and peripheral artery disease), and systemic lupus erythematosus (SLE).

We evaluated the use of diuretics, antibiotics, statins, angiotensin-converting enzyme inhibitors (ACEI), and/or angiotensin receptor blockers (ARB), nonsteroidal anti-inflammatory drugs (NSAID), and contrast media (recent use as well as administration during hospitalization). Previous use of corticosteroids was also recorded.

Indications for renal biopsy were nephrotic syndrome (characterized by edema, hypoalbuminemia [< 3.5 g/L], dyslipidemia, and proteinuria ≥3.5 g/24 h [h]), or nephrotic-range proteinuria (proteinuria ≥3.5 g/24 h), rapidly progressive glomerulonephritis (RPGN, characterized by hematuria and/or proteinuria on urinalysis associated with rapid decline in renal function indicated by progressively increasing serum creatinine levels, which may occur over days, weeks, or months prior to renal biopsy), sub-nephrotic proteinuria (isolated proteinuria > 1.0 g/24 h), dysmorphic hematuria associated with some grade of proteinuria, renal dysfunction if unknown origin, and renal manifestations of systemic diseases.

Evaluation performed upon admission

The following parameters were evaluated upon admission: hemoglobin, serum sodium, potassium, ionic calcium, phosphorus, and albumin levels, pH and bicarbonate levels, serum total cholesterol and its fractions, serum triglycerides, serum creatinine and urea levels, as well as 24-h urinary protein excretion. The glomerular filtration rate (GFR) was estimated using the Modification of Diet in Renal Disease Study Group (MDRD) equation [6].

All patients underwent kidney and urinary tract ultrasonography. The length of the kidneys was recorded in all patients.

Optical microscopy analysis and immunofluorescence studies were performed for histopathological diagnostic confirmation as well electron microscopy, when indicated. All analysis was performed by a single renal pathologist.

We evaluated the serum creatinine level upon admission, during hospitalization, and specific time-points after discharge until 12 months after the kidney biopsy. The reading that showed the lowest level during hospitalization was considered the baseline serum creatinine level because laboratory data prior to hospitalization were unavailable. The highest serum creatinine level during hospitalization was used to diagnose AKI.

Acute kidney injury

We defined and classified AKI observed during hospitalization based on the Kidney Disease: Improving Global Outcomes (KDIGO) criteria using only serum creatinine levels [7]. AKI was defined as an increase in serum creatinine ≥0.3 mg/dL over ≤48 h or a ≥ 1.5-fold increase in serum creatinine over baseline levels within the 7 days. AKI was classified into 3 stages as follows: stage 1: ≥1.5 to 1.9-fold increase in serum creatinine levels or an increase of 0.3 mg/dL compared with baseline levels, stage 2: ≥2.0 to 2.9-fold increase in serum creatinine levels compared with baseline levels, and stage 3: > 3.0-fold increase in serum creatinine levels compared with baseline creatinine levels or serum creatinine levels > 4.0 mg/dL with an increase of at least 0.5 mg/dL, or the initiation of renal replacement therapy.

Outcomes

The following outcomes were assessed: kidney function (evaluated by serum creatinine levels), need for dialysis initiation, and mortality within 12 months after kidney biopsy.

Statistical analysis

Data were expressed as mean and standard deviation for normally distributed variables and as median and quartiles (25–75%) for variables showing non-normal distribution. Parametric distribution was confirmed using the Shapiro-Wilk test. We used the Student’s t-test or the Mann-Whitney test for numerical variables and the Chi-square test for comparison between nominal variables.

For covariance analyze repeated measures of creatinine and for intergroup comparison of data, we used the Generalized Estimation Equations and applied the autoregressive structure correlation matrix [1] and gamma distribution with log link.

Variables that were significantly associated with AKI on univariate analysis (p < 0.05) were subjected to multivariate logistic regression analysis for variables such as age and sex.

A p value < 0.05 was considered statistically significant. SPSS software, version 20.0 (IBM Corp, USA, 2011) was used for statistical analysis.

Results

The study included 267 patients, of which 44 (16.5%) patients were diagnosed with ESRD during admission and were excluded from the study. Of the remaining patients (N = 223), 140 (62.8%) were diagnosed with AKI during hospitalization. No significant intergroup difference was observed in sex (men, 68 [48.6%] in the AKI vs. 41 [49.4%] in the non-AKI group, p = 0.508). Patients with AKI were older than patients without AKI (41.2 ± 17.7 vs. 35.3 ± 14.4 years, p = 0.03) with similar BMI (25.7 ± 5.4 in the AKI vs. 24.5 ± 4.0 kg/m2 in the non-AKI group, p = 0.291). Most patients were white in both groups (87 [62.8%] in the AKI vs. 51 [61.5%] in the non-AKI group, p = 0.482).

No statistically significant differences were observed between the AKI and non-AKI groups, respectively in the percentage of patients with hypertension (64 [45.7%] vs. 30 [36.1%], p = 0.096), patients with CVD (9 [6.4%] vs. 3 [3.6%], p = 0.279), and patients with a history of cancer (5 [3.6%] vs. 1 [1.2%], p = 0.273). DM was more prevalent in the AKI group (17 [12.1%] vs. 3 [3.6%], p = 0.023).

A lower percentage of patients in the AKI group used ACEIs/ARBs (57 [40.7%] vs. 45 [54.2%], p = 0.038). Additionally, a larger number of patients in the AKI group received a potentially nephrotoxic antibiotic (16 [11.4%] vs. 2 [2.4%], p = 0.012). No statistically significant difference was observed between the AKI and non-AKI groups with respect to the use of diuretics (42 [30.0%] vs. 32 [38.6%], p = 0.130), statins (31 [22.1%] vs. 23 [27.7%], p = 0.227), NSAIDs (19 [13.6%] vs. 9 [10.8%], p = 0.347), and corticosteroids (34 [3.0%] vs. 28 [33.7%], p = 0.091). No patient underwent contrast examination during hospitalization.

The primary indications for renal biopsy were nephrotic-range proteinuria or nephrotic syndrome (73 [52.1%] in the AKI vs. 51 [61.4%] in the non-AKI group, p = 0.048), renal dysfunction of undetermined etiology (23 [16.4%] in the AKI vs. 5 [6.0%] in the non-AKI group, p = 0.001), and hematuria with non-nephrotic-range proteinuria (11 [7.8%] in the AKI vs. 11 [13.2%] in the non-AKI group, p = 1,000). RPGN was an indication exclusively in the AKI group (18 [12.9%] vs. 0, p < 0.001).

Primary renal disease was the most common type of disease observed in both groups (86 [61.4%] in the AKI vs. 67 [80.7%] in the non-AKI group, p = 0.125). The primary diagnoses were focal segmental glomerulosclerosis (FSGS) (24 [17.1%] in the AKI vs. 15 [18.0%] in the non-AKI group, p = 0.150) and minimal change disease (MCD) (21 [15%] in the AKI vs. 15 [18%] in the non-AKI group, p = 0.317). Secondary diseases predominated in the AKI group (54 [38.6%] vs. 16 [19.3%], p < 0.001). SLE was the main cause of secondary renal disease, with classes III and IV being the most prevalent (Table 1).

Table 1 Intergroup comparison of baseline demographic, clinical data upon admission, indications for kidney biopsy and histopathological examination findings

Laboratory data and measurements of renal length are presented in Table 2. Statistically significant differences were observed between the AKI and non-AKI groups with respect to the following variables: serum hemoglobin (11.7 ± 2.7 vs. 13.4 ± 2.1 g/dL, p < 0.001), serum sodium (137 ± 3.7 vs. 138 ± 2.6 mEq/L, p = 0.047), serum urea (76.0 [55.0–115.0] vs. 57.0 [39.0–77.3] mg/dL, p < 0.001), serum bicarbonate (21.4 ± 5.5 vs. 25.7 ± 4.0 mEq/L, p < 0.001), and serum HDL-c (43.5 ± 16.2 vs. 56.3 ± 28.5 mg/dL, p < 0.001). No statistically significant intergroup difference was observed in renal length.

Table 2 Intergroup comparison of laboratory and ultrasonographic data

Table 3 shows an intergroup comparison of serum creatinine levels across different time-points in the study. We observed that the AKI group showed higher serum creatinine levels than the non-AKI group (p < 0.001) across the entire follow-up period. Compared with peak levels during admission, we observed a decrease in serum creatinine levels in the AKI group after 12 months (p < 0.05).

Table 3 Intergroup comparison of serum creatinine levels (mg/dL) during follow-up

Among patients diagnosed with AKI (62.8%), 91 (65.0%) were classified as showing stage I disease, 19 (13.6%) as stage 2, and 30 (21.4%) as stage 3 disease.

Dialysis was performed in 19 (8.5%) patients in the AKI group and of these 19, 9 (4.0%) remained dependent on dialysis therapy at the time of discharge. All patients were dialysis-free at the end of 12 months. Notably, 8 patients (3.6%) died and 5 of them died of infections during hospitalization. Table 4 shows the multivariate analysis of factors associated with the development of AKI.

Table 4 Multivariate logistic regression analysis of factors associated with the development of acute kidney injury

Discussion

This study showed a high prevalence of AKI in hospitalized patients who underwent kidney biopsy for renal disease primarily caused by glomerulonephritis. Most patients showed primary renal disease, and the most common indications for renal biopsy were nephrotic-range proteinuria or nephrotic syndrome. Among the primary diseases, FSGS showed the highest prevalence. Among all secondary diseases, lupus glomerulonephritis was the most common.

Epidemiological studies investigating AKI should necessarily describe patients’ baseline serum creatinine levels. In this study, we defined the lowest serum creatinine level during hospitalization as an estimate of baseline renal function, given the lack of previous values. Retrospective baseline serum creatinine levels (assuming GFR = 75 mL/min/1.73 m2) based on KDIGO criteria may miss the occurrence of AKI in the community [7]. Moreover, our study group comprised patients predominantly with glomerulonephritis, which tends to demonstrate an insidious onset and progression. Occasionally, in a few cases, AKI can be diagnosed in clinical practice only by analyzing temporal changes in serum creatinine levels. Our findings concur with this observation in that progressive improvement in renal function occurred in the AKI group throughout the study period.

We could not rule out the existence of a pre-renal component of AKI, particularly in patients with less severe AKI (stage 1). Despite the long-term protective effect of ACEI/ARB in renal diseases in patients with proteinuria, their use may cause acute and reversible renal dysfunction, particularly when used concomitantly with diuretics and in patients with other conditions causing hypovolemia [8, 9]. Interestingly, we observed a higher percentage of patients using ACEI/ARB in the non-AKI group. In contrast to data reported in the literature, the effect of AKI on glomerular hemodynamics (decreased filtration pressure) and the potential negative effect on renal function was not evident in the present study [8, 10]. For example, a recent study investigating patients with hypertension using ACEI/ARB and diuretics showed AKI was associated with CKD and poor cardiac performance [11]. Another study involving new users of ACEI/ARB reported a low incidence of AKI and showed AKI was more likely to be associated with the individual clinical characteristics than with the use of the medication itself [12].

Proteinuria and low serum albumin levels are risk factors for AKI [13, 14]. This is particularly evident in patients diagnosed with MCD, notably elderly patients with hypertension (showing arteriolar nephrosclerosis) and patients with more severe degrees of nephrotic syndrome [15]. In our cohort, no significant differences were observed in 24-h proteinuria, serum albumin levels, and the number of patients diagnosed with major proteinuria-causing diseases (FSGS, MCD and Membranous Glomerulonephritis) between the AKI and non-AKI groups. Previous studies have shown that DM is also an independent risk factor for AKI, mainly secondary to microvascular dysfunction [16, 17]. Although the AKI group included a greater number of patients with DM, it was not an independent risk factor in our study. Our study included younger patients than those studied previously, and owing to the multiple disease diagnosed, AKI could be attributed to other mechanisms as well.

Pre-existing kidney dysfunction serves as an independent risk factor for AKI in conditions such as sepsis and contrast-induced nephropathy, as well as in patients undergoing cardiac surgery or solid organ transplantation, and in patients admitted to the ICU [18,19,20,21,22]. This factor was also relevant in our study. Patients with CKD are at a higher risk of AKI secondary to the role of several etiopathogenetic contributors such as activation of transforming growth factor beta, action of hypoxia-inducible factors, mitochondrial and endothelial dysfunction, oxidative stress, chronic inflammation, and alterations in renal blood flow autoregulation observed in this patient population [23,24,25].

Anemia and AKI are occasionally associated. A few studies have shown anemia serves as an independent risk factor for AKI [26,27,28]. Previous studies have shown anemia was a risk factor for contrast-induced nephropathy in patients undergoing coronary angiography [29], postoperatively in patients undergoing hip arthroplasty [30], in patients admitted to the ICU [31], and postoperatively in patients undergoing cardiac surgery [32]. In these cases, AKI associated with anemia could be attributed to a reduction in the oxygen supply to renal tissues and the consequent aggravation of pre-existing ischemia occurring in hospitalized patients [32,33,34].

In our study, we observed a higher level of serum hemoglobin was associated with a lower incidence of AKI. Several studies have shown an association between anemia and AKI; however, it is unclear whether higher levels of serum hemoglobin could reduce the incidence of AKI. It could be deduced that early intervention, for example, through the use of recombinant human erythropoietin, could reduce the risk of AKI in specific diseases, such as in glomerulonephritis. Previous studies have shown the role of erythropoietin in patients admitted to the ICU and in those undergoing cardiac surgery was controversial and in a few cases the benefit was independent of hematocrit and serum hemoglobin levels [35].

Altered lipid metabolism is common in patients with renal disease, particularly in those with glomerulonephritis and nephrotic syndrome. Hypercholesterolemia and hypertriglyceridemia are the most common findings in such cases; however, low serum HDL-c levels may occur. Resolution of nephrotic syndrome usually tends to reverse these changes [36].

HDL-c possesses antioxidant properties, thereby reducing endothelial damage and the risk of atherosclerosis [37]. The MDRD study showed a low serum HDL-c level was an independent risk factor associated with a faster decline in GFR. In experimental AKI models, HDL-c showed anti-inflammatory actions and reduced ischemia and reperfusion injury [38, 39]. Roveran Genga et al. showed low levels of serum HDL-c in patients with sepsis were associated with a higher incidence of sepsis-associated AKI [40]. Another study reported by Smith et al. demonstrated higher levels of preoperative serum HDL-c decreased the incidence of AKI after cardiac surgery [41]. Arora et al. observed low levels of serum HDL-c were associated with AKI after revascularization surgery for chronic limb ischemia [42].

In our cohort, we observed an association between higher levels of serum HDL-c and lower incidence of AKI. We inferred perhaps intensive drug therapy for dyslipidemia in addition to exercise and dietary strategies could improve patients’ lipid profile and consequently reduce the incidence of AKI, particularly in patients with glomerulonephritis.

The following are the limitations of our study: [1] The lack of outpatient baseline serum creatinine values is the main limitation, since some cases of non-recovering AKI could be missed. [2] Because it is a retrospective and single-center study, a bias cannot be ruled out. [3] Histopathological heterogeneity and dropouts during follow-up are other limitations. [4] We do not have information regarding the treatment for each specific disease diagnosed by biopsy. Despite these limitations, the high prevalence of AKI observed in these subjects is concerning because this patient population is often excluded from epidemiological studies investigating AKI.

Conclusions

We observed a high prevalence of AKI in hospitalized patients who underwent kidney biopsy to investigate their renal disease, particularly glomerulonephritis. Higher levels of hemoglobin and serum HDL-c were associated with lower risks of AKI.

Availability of data and materials

The data that support the findings of this study are available from Universidade Federal de São Paulo (UNIFESP), but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are however available from the authors upon reasonable request and with permission of Universidade Federal de São Paulo (UNIFESP).

Abbreviations

ACEI:

angiotensin-converting enzyme inhibitors

AKI:

Acute kidney injury

ARB:

angiotensin receptor blockers

BMI:

body mass index

CKD:

chronic kidney disease

CVD:

cardiovascular disease

DM:

diabetes mellitus

ESRD:

chronic end-stage renal disease

FSGS:

focal segmental glomerulosclerosis

GFR:

glomerular filtration rate

HDL-c:

high-density lipoprotein cholesterol

ICU:

intensive care units

KDIGO:

Kidney Disease: Improving Global Outcomes

MCD:

minimal change disease

MDRD:

Modification of Diet in Renal Disease Study Group

NSAID:

nonsteroidal anti-inflammatory drugs

RPGN:

rapidly progressive glomerulonephritis

SLE:

systemic lupus erythematosus

References

  1. 1.

    Forni LG, Darmon M, Ostermann M, Oudemans van Straaten HM, Pettilä V, Prowle JR, et al. Renal recovery after acute kidney injury. Intensive Care Med. 2017;43:855–66.

    CAS  Article  Google Scholar 

  2. 2.

    Ali T, Khan I, Simpson W, Prescott G, Townend J, Smith W, et al. Incidence and outcomes in acute kidney injury: a comprehensive population-based study. J Am Soc Nephrol. 2007;18:1292–8.

    CAS  Article  Google Scholar 

  3. 3.

    Levey AS, Coresh J, Balk E, Kausz AT, Levin A, Steffes MW, et al. National Kidney Foundation. National Kidney Foundation practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Ann Intern Med. 2003;139:137–47.

    Article  Google Scholar 

  4. 4.

    Prakash J, Sen D, Kumar NS, Kumar H, Tripathi LK, Saxena RK. Acute renal failure due to intrinsic renal diseases: review of 1122 cases. Ren Fail. 2003;25:225–33.

    Article  Google Scholar 

  5. 5.

    Susantitaphong P, Cruz DN, Cerda J, Abulfaraj M, Alqahtani F, Koulouridis I, et al. Acute kidney injury advisory Group of the American Society of nephrology. World incidence of AKI: a meta-analysis. Clin J Am Soc Nephrol. 2013;8:1482–93.

    Article  Google Scholar 

  6. 6.

    Levey AS, Bosch JP, Lewis JB, Greene T, Rogers N, Roth D. A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of diet in renal disease study group. Ann Intern Med. 1999;130:461–70.

    CAS  Article  Google Scholar 

  7. 7.

    KDIGO AKI Work Group. KDIGO clinical practice guideline for acute kidney injury. Kidney Int Suppl. 2012;2:1–138.

    Article  Google Scholar 

  8. 8.

    Cox ZL, McCoy AB, Matheny ME, Bhave G, Peterson NB, Siew ED, et al. Adverse drug events during AKI and its recovery. Clin J Am Soc Nephrol. 2013;8:1070–8.

    CAS  Article  Google Scholar 

  9. 9.

    Kheterpal S, Tremper KK, Englesbe MJ, O'Reilly M, Shanks AM, Fetterman DM, et al. Predictors of postoperative acute renal failure after noncardiac surgery in patients with previously normal renal function. Anesthesiology. 2007;107:892–902.

    Article  Google Scholar 

  10. 10.

    Alabdan N, Gosmanova EO, Tran NQ, Oliphant CS, Pan H, Broyles JE, et al. Acute kidney injury in patients continued on renin-angiotensin system blockers during hospitalization. Am J Med Sci. 2017;353:172–7.

    Article  Google Scholar 

  11. 11.

    Chen Q, Zhu S, Liao J, He W. Study of acute kidney injury on 309 hypertensive inpatients with ACEI/ARB - diuretic treatment. J Natl Med Assoc. 2018;110:287–96.

    Article  Google Scholar 

  12. 12.

    Mansfield KE, Nitsch D, Smeeth L, Bhaskaran K, Tomlinson LA. Prescription of renin-angiotensin system blockers and risk of acute kidney injury: a population-based cohort study. BMJ Open. 2016;6(12):e012690.

    Article  Google Scholar 

  13. 13.

    Clark WF, Macnab JJ, Sontrop JM, Jain AK, Moist L, Salvadori M, et al. Dipstick proteinuria as a screening strategy to identify rapid renal decline. J Am Soc Nephrol. 2011;22:1729–36.

    Article  Google Scholar 

  14. 14.

    Shao M, Wang S, Parameswaran PK. Hypoalbuminemia: a risk factor for acute kidney injury development and progression to chronic kidney disease in critically ill patients. Int Urol Nephrol. 2017;49:295–302.

    CAS  Article  Google Scholar 

  15. 15.

    Smith JD, Hayslett JP. Reversible renal failure in the nephrotic syndrome. Am J Kidney Dis. 1992;19:201–13.

    CAS  Article  Google Scholar 

  16. 16.

    Thakar CV, Christianson A, Himmelfarb LAC. Acute kidney injury episodes and chronic kidney disease risk in diabetes mellitus. Clin J Am Soc Nephrol. 2011;6:2567–72.

    CAS  Article  Google Scholar 

  17. 17.

    Lee KW, Kim TM, Kim KS, Lee S, Cho J, Park JB, et al. Renal ischemia-reperfusion injury in a diabetic monkey model and therapeutic testing of human bone marrow-derived mesenchymal stem cells. J Diabetes Res. 2018;5182606, 9 pages.https://doi.org/10.1155/2018/5182606

    Article  Google Scholar 

  18. 18.

    Kheterpal S, Tremper KK, Heung M, Rosenberg AL, Englesbe M, Shanks AM, et al. Development and validation of an acute kidney injury risk index for patients undergoing general surgery: results from a national data set. Anesthesiology. 2009;110:505–15.

    Article  Google Scholar 

  19. 19.

    Mehta RH, Grab JD, O'Brien SM, Bridges CR, Gammie JS, Haan CK, et al. Society of Thoracic Surgeons National Cardiac Surgery Database Investigators: bedside tool for predicting the risk of postoperative dialysis in patients undergoing cardiac surgery. Circulation. 2006;114:2208–16.

    Article  Google Scholar 

  20. 20.

    Thakar CV, Arrigain S, Worley S, Yared JP, Paganini EP. A clinical score to predict acute renal failure after cardiac surgery. J Am Soc Nephrol. 2005;16:162–8.

    Article  Google Scholar 

  21. 21.

    Benko A, Fraser-Hill M, Magner P, Capusten B, Barrett B, Myers A, et al. Canadian association of radiologists: consensus guidelines for the prevention of contrast-induced nephropathy. Can Assoc Radiol. 2007;58:79–87.

    Google Scholar 

  22. 22.

    Hsu CY, Ordonez JD, Chertow GM, Fan D, McCulloch CE, Go AS. The risk of acute renal failure in patients with chronic kidney disease. Kidney Int. 2008;74:101–7.

    CAS  Article  Google Scholar 

  23. 23.

    Robinson-Cohen C, Katz R, Price BL, Harju-Baker S, Mikacenic C, Himmelfarb J, et al. Association of markers of endothelial dysregulation Ang1 and Ang2 with acute kidney injury in critically ill patients. Crit Care. 2016;20:207.

    Article  Google Scholar 

  24. 24.

    Powell TC, Powell SL, Allen BK, Griffin RL, Warnock DG, Wang HE. Association of inflammatory and endothelial cell activation biomarkers with acute kidney injury after sepsis. Springerplus. 2014;3:207.

    Article  Google Scholar 

  25. 25.

    Sun CY, Chang SC, Wu MS. Uremic toxins induce kidney fibrosis by activating intrarenal renin-angiotensin-aldosterone system associated epithelial-to-mesenchymal transition. PLoS One. 2012;7:e34026.

    CAS  Article  Google Scholar 

  26. 26.

    Shema-Didi L, Ore L, Geron R, Kristal B. Is anemia at hospital admission associated with in-hospital acute kidney injury occurrence? Nephron Clin Pract. 2010;115(2):c168–76.

    Article  Google Scholar 

  27. 27.

    Haase M, Bellomo R, Story D, Letis A, Klemz K, Matalanis G, et al. Effect of mean arterial pressure, haemoglobin and blood transfusion during cardiopulmonary bypass on post-operative acute kidney injury. Nephrol Dial Transplant. 2012;27:153–60.

    CAS  Article  Google Scholar 

  28. 28.

    Shacham Y, Gal-Oz A, Leshem-Rubinow E, Arbel Y, Flint N, Keren G, et al. Association of admission hemoglobin levels and acute kidney injury among myocardial infarction patients treated with primary percutaneous intervention. Can J Cardiol. 2015;31:50–5.

    Article  Google Scholar 

  29. 29.

    Sreenivasan J, Zhuo M, Khan MS, Li H, Fugar S, Desai P, et al. Anemia (hemoglobin ≤ 13 g/dL) as a risk factor for contrast-induced acute kidney injury following coronary angiography. Am J Cardiol. 2018;122:961–5.

    Article  Google Scholar 

  30. 30.

    Choi YJ, Kim SO, Sim JH, Hahm KD. Postoperative Anemia is associated with acute kidney injury in patients undergoing Total hip replacement arthroplasty: a retrospective study. Anesth Analg. 2016;122:1923–8.

    Article  Google Scholar 

  31. 31.

    Han SS, Baek SH, Ahn SY, Chin HJ, Na KY, Chae DW, et al. Anemia is a risk fator for acute kidney injury and long-term mortality in critically ill patients. Exp Ther Med. 2015;237:287–95.

    CAS  Google Scholar 

  32. 32.

    Karkouti K, Wijeysundera DN, Yau TM, et al. Acute kidney injury after cardiac surgery: focus on modifiable risk factors. Circulation. 2009;119:495–502.

    Article  Google Scholar 

  33. 33.

    Legrand M, Pirracchio R, Pirracchio R, Rosa A, Petersen ML, Van der Laan M, et al. Incidence, risk factors and prediction of post-operative acute kidney injury following cardiac surgery for active infective endocarditis: an observational study. Crit Care. 2013;17:R220.

    Article  Google Scholar 

  34. 34.

    Sickeler R, Phillips-Bute B, Kertai MD, Schroder J, Mathew JP, Swaminathan M, et al. The risk of acute kidney injury with co-occurrence of anemia and hypotension during cardiopulmonary bypass relative to anemia alone. Ann Thorac Surg. 2014;97(3):865–71.

    Article  Google Scholar 

  35. 35.

    Kim JH, Shim JK, Song JW, Song Y, Kim HB, Kwak YL. Effect of erythropoietin on the incidence of acute kidney injury following complex valvular heart surgery: a double blind, randomized clinical trial of efficacy and safety. Crit Care. 2013;17:R254.

    Article  Google Scholar 

  36. 36.

    Agrawal S, Zaritsky JJ, Fornoni A, Smoyer WE. Dyslipidaemia in nephrotic syndrome: mechanisms and treatment. Nat Rev Nephrol. 2018;14:57–70.

    CAS  Article  Google Scholar 

  37. 37.

    Jurek A, Turyna B, Kubit P, Klein A. LDL susceptibility to oxidation and HDL antioxidant capacity in patients with renal failure. Clin Biochem. 2006;39:19–27.

    CAS  Article  Google Scholar 

  38. 38.

    Cockerill GW, Huehns TY, Weerasinghe A, Stocker C, Lerch PG, Miller NE, et al. Elevation of plasma high-density lipoprotein concentration reduces interleukin- 1-induced expression of E-selectin in an in vivo model of acute inflammation. Circulation. 2001;103:108–12.

    CAS  Article  Google Scholar 

  39. 39.

    Thiemermann C, Patel NS, Kvale EO, Cockerill GW, Brown PA, Stewart KN, et al. High density lipoprotein (HDL) reduces renal ischemia/reperfusion injury. J Am Soc Nephrol. 2003;14:1833–43.

    CAS  Article  Google Scholar 

  40. 40.

    Roveran Genga K, Lo C, Cirstea M, Zhou G, Walley KR, Russell JA, et al. Two-year follow-up of patients with septic shock presenting with low HDL: the effect upon acute kidney injury, death and estimated glomerular filtration rate. J Intern Med. 2017;281:518–29.

    CAS  Article  Google Scholar 

  41. 41.

    Smith LE, Smith DK, Blume JD, Linton MF, Billings FT 4th. High-density lipoprotein cholesterol concentration and acute kidney injury after cardiac surgery. J Am Heart Assoc. 2017. https://doi.org/10.1161/JAHA.117.006975.

  42. 42.

    Arora P, Davari-Farid S, Gannon MP, Lohr JW, Dosluoglu HH, Nader ND. Low levels of high-density lipoproteins are associated with acute kidney injury following revascularization for chronic limb isquemia. Ren Fail. 2013;35:838–44.

    CAS  Article  Google Scholar 

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Acknowledgments

We thank Dr. Marcello Fabiano de Franco (in memorian) for the histological analysis of the renal biopsies, Danilo Takashi Aoike for statistical analysis.

Funding

The present study is investigator-initiated research. The authors have received specific funding from Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP - www.fapesp.br) at number 2014/20605–7. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Contributions

The conception of the study was made by MSD, HPK, TOCS, TGVZ and SCP. All authors participated in the design of the study, data collection, and analysis and interpretation of data. The article was draft by MSD and HPK and was revised by all authors. The authors GMK and AT provided additional intellectual content and all the authors approved the final version of the paper. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Marcelino de Souza Durão Junior.

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Ethics approval and consent to participate

All study was conducted in compliance with the principles of the Declaration of Helsinki and in accordance with Good Clinical Practice guidelines. The study was approved by the local Ethics Committee of Universidade Federal de São Paulo (UNIFESP), under number 385.749. Confidentiality of all data has been maintained. The requirement for informed consent was waived for this study owing to its retrospective design.

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Not applicable.

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The authors declare that they have no competing interests.

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Konigsfeld, H.P., Viana, T.G., Pereira, S.C. et al. Acute kidney injury in hospitalized patients who underwent percutaneous kidney biopsy for histological diagnosis of their renal disease. BMC Nephrol 20, 315 (2019). https://doi.org/10.1186/s12882-019-1514-8

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Keywords

  • Acute kidney injury
  • Glomerulonephritis
  • Hemoglobin
  • Kidney biopsy
  • HDL-c