MO424RENAL ANGINA: RISK OF ACUTE KIDNEY INJURY IN CRITICALLY ILL ADULTS IN FUNDACIÓN CARDIOINFANTIL IN BOGOTÁ USING CLINICAL RISK FACTORS AND CHANGES IN SERUM CREATININE
Authors: Molano-Triviño Alejandra , Garcia-Habeych José , Castellanos De la Hoz Juan Camilo , Niño Caro Noelia , Montoya Juan Pablo , Gutiérrez Rueda Laura , Pérez Hettinga Manuel Antonio , Mejia Sanjuanelo Ana Milena , Martinez Montalvo Carlos Mauricio , Castro Durango Luis Alejandro , Meza González Yilmar , Ronco Claudio , Zúñiga Eduardo , Barón Santiago , Saumett Sandra 
Published: May 2021

Background and Aims

Acute Kidney Injury (AKI) has remarkable cardiovascular and mortality outcomes, both short and long term potentially preventable with adequate ICU support, thus, early diagnosis is mandatory. Full AKI diagnosis according to KDIGO criteria can result in delayed interventions at admission in ICU, giving potential benefits to alternatives in early diagnosis.

Cruz and NEFROINT research group described a scale for prediction of severe AKI, based on risk factors and establishing creatinine cuts as markers of kidney distress.1

Our aim is to describe the predictive capacity of small changes in serum creatinine correlating with clinical risk factors in adult critical care patients.

1. Clin J Am Soc Nephrol (2014) 9, 663-672.

Method

We retrospectively selected from our Critical Care Nephrology database adult patients admitted in any of our hospital`s ICU between February to August 2020, excluding those at admission with diagnosis of AKI, serum creatinine &gt; 2.5 mg/dl, or those receiving dialysis (acute or chronic) or kidney transplantation. We defined AKI according to KDIGO criteria.

We calculated Cruz et al scale of prediction of severe AKI. The minimally acceptable criteria for this test was a sensitivity of 95%. A point estimate and confidence intervals of sensitivity and specificity were derived from a contingency table.

Results

From 1204 new ICU patients, according to selection criteria we found 372 patients (women 40.3%), with mean age of 60.9 years (range 18-98), mainly hospitalized for medical conditions.

Mean values of APACHE II was 22.9. Hemodynamic support was required in 41.1% of patients and mechanical ventilation in 58.6% of patients. (Table 1).

AKI KDIGO 2-3 was diagnosed in 65 (26.8%) of patients.

Creatinine at admission was statistically different in patients that developed AKI (CI 0.95 -0.51 - 0.15 mg/dl, p=0.0004). Requirement of hemodynamic (p = 0.003) and ventilatory support (p = 0.009), sepsis (p = 0.003), and diagnosis of COVID-19 (p = 0.03) were more frequent in patients who developed AKI.

Clinical risk for severe AKI was present in 356 patients (95.7%): 66,5% at very high risk, 9,8% at high risk and 19,2% at moderate risk. Patients without risk criteria were classified as low risk (4,3%).

In patients with risk factors for AKI, and a significative increase in creatinine adjusted to risks, diagnostic performance for predicting diagnosis of KDIGO 2-3 AKI had a sensitivity, specificity, positive and negative predictive value of 89% (CI95% 79 – 95%), 58% (CI95% 52 – 64%), 0.31 (CI95% 0.25 – 0.39) and 0.96 (CI95% 0.92 – 0.98) respectively (Figure).

Renal replacement therapy was required in 39 (60%) of patients with severe AKI (incidence 10.5%). (Table 2)

Conclusion

Regardless of the risk stratification for AKI, the absence of significant early changes in serum creatinine rules out the possibility of progression to KDIGO 2-3 AKI in the first seven days after ICU admission.