| Literature DB >> 29034358 |
Jorge Cerdá1, Sumit Mohan2, Guillermo Garcia-Garcia3, Vivekanand Jha4, Srinivas Samavedam5, Swarnalata Gowrishankar6, Arvind Bagga7, Rajasekara Chakravarthi8, Ravindra Mehta9.
Abstract
Acute kidney injury (AKI) is increasingly common around the world. Because of the low availability of effective therapies and resource limitations, early preventive and therapeutic measures are essential to decrease morbidity, mortality, and cost. Timely recognition and diagnosis of AKI requires a heightened degree of suspicion in the appropriate clinical and environmental context. In low- and middle-income countries (LMICs), early detection is impaired by limited resources and low awareness. In this article, we report the consensus recommendations of the 18th Acute Dialysis Quality Initiative meeting in Hyderabad, India, on how to improve recognition of AKI. We expect these recommendations will lead to an earlier and more accurate diagnosis of AKI, and improved research to promote a better understanding of the epidemiology, etiology, and histopathology of AKI in LMICs.Entities:
Keywords: acute kidney injury; biomarkers; detection; developing countries; diagnosis; recognition; resources
Year: 2017 PMID: 29034358 PMCID: PMC5637391 DOI: 10.1016/j.ekir.2017.04.009
Source DB: PubMed Journal: Kidney Int Rep ISSN: 2468-0249
Figure 1Acute kidney injury (AKI) recognition: the process and its modifiers. In addition to the usual AKI trajectory from clinical suspicion to confirmation to diagnosis, other factors modify the process. The degree of AKI awareness, the context in which the patient is encountered, and the available diagnostic resources may facilitate, delay, or impede the achievement of early AKI diagnosis. CKD, chronic kidney disease; KDIGO, Kidney Disease: Improving Global Outcomes; POC, point of care.
Signs and symptoms leading to suspicion of acute kidney injury in low- to middle-income countries
| In the community setting |
| History of kidney disease |
| Oliguria |
| Total body swelling |
| Hypotension |
| Dehydration |
| GI loss of volume and electrolytes |
| Dark, concentrated urine |
| Sepsis syndrome |
| Fever in the context of prevalent endemic disease |
| Exposure to potential nephrotoxins |
| Pregnancy-related complications |
| Plus, in the hospital setting, |
| Multiple organ failure |
| Nephrotoxic medication exposure |
GI, gastrointestinal.
Figure 2Main components of the acute kidney injury diagnostic context.
Urine microscopy
| Reference | Test | Patients | Sensitivity | Specificity | PPV | NPV | Comments |
|---|---|---|---|---|---|---|---|
| Bagshaw | UMS ≥3 | 83 | 0.67 (0.39–0.86) | 0.95 (0.84–0.99) | 0.80 (0.49–0.94) | 0.91 (0.78–0.96) | The UMS was compared between septic and nonseptic AKI and correlated with NGAL, worsening AKI, RRT, and hospital mortality. UMS correlates with uNGAL, but not with pNGAL; a UMS score ≥ 3 was associated with increased odds of worsening AKI (AOR: 8.0; 95% CI: 1.03–62.5; |
| Perazella | USS ≥2 | 267 | 0.76 | 0.86 | 100 | 44 | Using the final diagnosis as the gold standard, the ability of the urine microscopy diagnosis to distinguish ATN from prerenal AKI was fair (sensitivity 0.76; specificity 0.86; positive LR 5.75). However, the scoring system was highly predictive of the final diagnosis of ATN |
| Chawla | CSI | 30 | Gold standard was patients with AKI consistent with the syndrome of acute tubular necrosis. The patients with nonrenal recovery had a higher CSI compared to those patients who did recover renal function (2.55 ± 0.93 vs. 1.57 ± 0.79; | ||||
| Carvounis | Scr ≥1.1 mg/dl | 363 | 84.2 (74.4–90.7) | 77.7 (72.5–82.1) | 50.0 | 94.9 | |
| Renal epithelial cells or epithelial/granular casts | 22.4 (14.5–32.9) | 91.3 (87.5–94.0) | 40.5 | 81.6 | |||
| NGAL (ng/ml) ≥ 42.71 | 64.5 (53.3–74.3) | 64.5 (58.8–69.8) | 32.5 | 87.3 |
AKI, acute kidney injury; AOR, adjusted odds ratio; ATN, acute tubular necrosis; CI, confidence interval; CSI, Cast score index; LR, likelihood ratio; NGAL, neutrophil gelatinase-associated lipocalin; NPV, negative predictive value; PPV, positive predictive value; RRT, renal replacement therapy; UMS, urine microscopy score; USS, urinary scoring system.
Urine biochemistry
| Reference | Test | Patients | AUC | Sensitivity | Specificity | PPV | NPV | Comments |
|---|---|---|---|---|---|---|---|---|
| Carvounis | FeU vs. FENa | 102 | 90 | 96 | 99 | 75 | Gold standard clinical grounds; more sensitive and specific index than FENa in differentiating between ARF due to prerenal azotemia and that due to ATN, especially if diuretics have been administered; in osmotic diuresis, the proximal tubular absorption of salt and water is impaired; thus, increased FEUN is expected despite renal hypoperfusion. A similar picture emerges in patients given a high protein diet or having excessive catabolism. | |
| Pepin | FeNA vs. Feur in transient AKI (prerenal) | 99 | Gold standard clinical context and whether serum creatinine level returned to baseline within 7 days. In patients without diuretic use, FENa is better able to distinguish transient from persistent AKI. In patients administered diuretics, this distinction cannot be made accurately by means of FENa. FEur cannot be used as an alternative tool because it lacks specificity. | |||||
| FENa | 0.83 ± 0.07 | 78 | 75 | 86 | 64 | |||
| FENA + dir | 0.75 ± 0.06 | 68 | 81 | 86 | 49 | |||
| FEur | 0.56 ± 0.11 | 48 | 75 | 79 | 43 | |||
| FEur + diur | 0.57 ± 0.08 | 79 | 33 | 71 | 44 | |||
| Bagshaw | FeU ≤35% | n = 28 | 0.54 (0.42–0.67) | 40 | 59 | Gold standard: uNGAL. In sepsis, FeNa and FEUN are not reliable markers of renal hypoperfusion. Urine biochemical profiles and microscopy do not discriminate septic and non-septic AKI. UNa, FeNa, and FeU do not reliably predict biomarker release, worsening AKI, RRT or mortality. These data imply limited utility for these measures in clinical practice in critically ill patients | ||
| FeNa <1% | n = 47 | 0.54 (0.42–0.67) | 50 | 58 |
AKI, acute kidney injury; ARF, acute renal failure; ATN, acute tubular necrosis; AUC, area under the curve; diur, diuretics; FENa, fractional excretion of sodium; FeU, fractional excretion of urea; FEUN, fractional excretion of urea nitrogen; NPV, negative predictive value; PPV, positive predictive value; RRT, renal replacement therapy; UNa, urine sodium; uNGAL, urine neutrophil gelatinase-associated lipocalin.
Issues that must be considered when selecting a point-of-care test
| Ease of use |
| Accuracy |
| Low error rate (imprecision + bias) |
| Consumable need: strips, cassettes, cartridges, rotor system, etc. |
| Portability (handheld vs. bench top); different models may be appropriate for field vs. hospital settings |
| Power source (battery vs. mains) |
| Scalability |
| Processing time |
| Sample source and volume |
| Connectivity (e.g., Bluetooth integration) |
| Ability for integration into electronic decision support systems |
| Possibility to do >1 test |
| Cost of the device and consumables |
Factors that can cause worsening renal function in a patient with preexisting kidney disease
| Systemic infection |
| Infection of the urinary tract |
| Volume deficit |
| Urinary tract obstruction |
| Uncontrolled hypertension |
| Unrecognized renovascular disease |
| Drug-induced (hemodynamic, interstitial nephritis) |
Features that indicate the presence of preexisting kidney disease in a patient presenting with kidney injury
| History of long-standing nocturia |
| History of edema, hematuria or renal stones |
| History of long-term intake of painkillers, herbal medicines, over-the-counter drugs |
| History of recurrent dehydration |
| Family history of kidney disease |
| Urinalysis showing broad casts |
| Musculoskeletal manifestations: growth retardation, rickets, or proximal myopathy |
| Anemia out of proportion to the duration of symptoms in the absence of another cause |
| Elevated phosphate and/or PTH levels |
| Characteristic imaging abnormalities (e.g., renal cysts or obstruction) |
| Small and/or highly echogenic kidneys on ultrasound |
PTH, parathyroid hormone.