Urine microscopy with examination of the spun urine sediment is an invaluable diagnostic
test for patients suspected of having kidney disease1
,
2. It is logical that injury to various nephron segments could be detected on examination
of the urine sediment for cells and casts indicative of the site of injury. Along
with clinical assessment, directed serum tests, and kidney imaging, urine microscopy
allows the clinician to construct a rational differential diagnosis of the underlying
kidney disease. It is particularly helpful in patients with acute kidney injury (AKI),
hematuria, and proteinuria1
,
2.
Provider-performed urine microscopy often provides information that cannot be otherwise
obtained by central laboratory urinalysis. Expert differentiation of urinary cell
morphology, accurate identification of cellular and non-cellular casts, and recognition
of various urinary crystals is akin to a “liquid kidney biopsy” (
1
,
2. In recent times, however, automated urine technology has been replacing urine sediment
examination at many centers1
,
2. Also, identifying novel urine biomarkers of kidney disease has become a research
priority in nephrology1
,
2. While the search for new tests that more accurately diagnose kidney disease is
admirable, in my opinion microscopic examination of the urine sediment remains a valuable
tool that should be preserved. Urine microscopy is a time-tested biomarker of kidney
disease that has an important role in clinical nephrology.
Urine microscopy not only identifies AKI occurrence, but also provides more granular
information into the nephron site of injury (e.g., glomerular, tubular or interstitial)1
,
2. For example, renal tubular cells (RTECs), RTEC casts, and muddy brown casts point
to ischemic and/or nephrotoxic tubular injury. Dysmorphic erythrocytes and erythrocyte
casts along with dipstick albuminuria typically indicate of glomerular injury, while
culture negative pyuria, along with RTECs, WBC casts, and granular casts suggest acute
tubulointerstitial disease in the proper clinical setting.
Urine microscopy also provides diagnostically useful information that can differentiate
AKI that is due to prerenal azotemia from true renal parenchymal injury. In the appropriate
clinical context, bland urine sediment with little cellular activity and primarily
hyaline or few finely granular casts suggests AKI is due to a functional decline in
GFR from renal hypoperfusion3. In contrast, urine sediment containing RTECs, RTEC
casts, and coarse granular/muddy brown casts bespeaks structural injury from acute
tubular injury (ATI), the most common cause of hospital-acquired AKI. This information
helps to inform the clinician about the diagnosis and pathway of treatment to follow.
The utility of a urine sediment score based on RTECs and granular casts was demonstrated
in 231 patients with hospital-acquired AKI from either prerenal azotemia or ATI4.
A dose-dependent increase in likelihood ratios (LRs) for ATI was seen as the number
of RTECs or granular casts increased, while the LRs declined for prerenal azotemia.
The odds ratios (ORs) for ATI in patients with urine microscopy scores of 2 or greater
versus 1 (no casts or RTECs) were 9.7 and 74, respectively. A pre-microscopy diagnosis
of ATI with granular casts or urine sediment score ³2 had a positive predictive value
of 100% for ATI. A pre-microscopy diagnosis of prerenal azotemia without RTECs or
granular casts had a negative predictive value of 91% for prerenal AKI. Thus, urine
microscopy is useful to differentiate these common causes of hospital-acquired AKI.
Urine microscopy can also predict important clinical end points. In the studies described
in Table 1, urine microscopy predicted various AKI endpoints, which included worsening
of kidney function as defined by higher AKIN stage, requirement for dialysis, and
death5
-
9. Urine microscopy also compared favorably to novel biomarkers tested in some of
the studies7
-
9. Risk classification of AKI determined by net reclassification index and integrated
discrimination improvement was significantly improved after adding either urine microscopy
or novel biomarkers to standard clinical variables. Thus, urine microscopy appears
to not only have utility in differentiating the causes of AKI, but also predicting
severity of AKI and death and improving upon baseline clinical determination of prognosis
in hospital-acquired AKI.
Table 1
Urine microscopy utility for prognosis in AKI patients
Study (year)
Population
Patients (n)
Urine Scoring System
Clinical Outcomes
Findings
Chawla 2008 5
AKI on Nephrology service
18
Grade 1-4*
Non-recovery of kidney function
AUC 0.79
Perazella 2010 6
AKI on Nephrology service
197
Score 0 to ≥ 3
†
Worsened AKI (increase in AKIN stage, KRT, or death)
AUC 0.75
Score 1: RR 3.4
Score 2: RR 6.6
Score ≥3: RR 7.3
Hall 20117
Patients with ≥ Stage 1 AKI
249
Score 0 to ≥ 3
†
Worsened AKI (increase in AKIN stage, KRT, or death)
AUC 0.66
Score 1: RR 1.6
Score 2: RR 2.3
Score ≥3: RR 3.5
Bagshaw 2012 8
ICU Patients with AKI
83
Score 0 to ≥ 3
$
A. Worsened AKI
AUC 0.85
B. KRT/death
Score 1-2: OR 5.6
Score ≥3: OR 8.0
Schinstock 2012 9
ED patients
363
Any RTECs or RTECs/granular casts
AKIN Stages
AUC 0.58; Specificity for AKI 91%; Sensitivity 22%
*
Grade 1: no casts or RTECs; Grade 2: at least 1 cast or RTECs seen but <10% of LPFs;
Grade 3: many casts and RTECs seen on >10% but <90% of LPFs; Grade 4: sheets of muddy
brown casts, casts and RTECs seen on >90% of LPFs.
†
0 casts or 0 RTECs, 0 points; 1-5 casts/LPF or 1-5 RTECs/HPF, 1 point each; ≥6 casts/LPF
or ≥6 RTECs/HPF, 2 points each
$
0 casts or 0 RTECs, 0 points; 1 cast or 1 RTEC/HPF, 1 point each; 2-4 casts or RTECs/HPF,
2 points each; ≥5 casts or RTECs/HPF, 3 points each Abbreviations: AKI- acute kidney
injury, AKIN- Acute Kidney Injury Network, KRT- kidney replacement therapy, SCr- serum
creatinine, RTEC- renal tubular epithelial cell, LPF- low power field, AUC- area under
the curve, RR- relative risk, OR- odds ratio, ICU- intensive care unit, ED- emergency
department.
In this issue of the Brazilian Journal of Nephrology, Goldani and colleagues examine
the utility of urine microscopy (urine sediment score based on RTE cells and granular
casts) in identifying AKI in patients undergoing cardiac surgery10. One hundred fourteen
patients who underwent cardiac surgery had urine microscopy performed within the next
24 hours. Using KDIGO AKI criteria, the authors identified 23 patients (~20%) with
AKI using serum creatinine criteria and 76 patients (~67%) using urine output criteria.
Urine microscopy was highly specific in predicting AKI (~87% and ~92%, respectively);
however, the test was insensitive (~35% and ~24%, respectively). The authors concluded
that urine microscopy is highly specific for an early diagnosis of AKI in patients
undergoing cardiac surgery. This study confirms previous findings and extends the
utility of urine microscopy for diagnosing AKI early following cardiac surgery.
One of the major negatives of this study is the low sensitivity of urine microscopy
in identifying AKI, a finding noted in other studies. It is likely that a number of
AKI patients in this study had prerenal azotemia as the majority of AKI was stage
I, which recovered back to baseline in 24 hours. One would expect the urine sediment
in these patients to be bland. Identifying these patients and separating those from
patients with higher stage or persistent AKI (>48 hours) would have likely improved
the sensitivity of the test, but may have reduced specificity.
In summary, the authors are to be applauded for performing this study and adding to
the literature supporting the continued use of rigorous examination of the spun urine
sediment in the evaluation of patient with or at risk for AKI.