# Incidence of Acute Kidney Injury and Mortality Post Successful Cardiac Surgery in a Kashmiri Cohort: A Prospective Comparison of the RIFLE and KDIGO Criteria

**Authors:** Hadiya Jan, Chetan Ram, Mohammad A Bhat, Farooq A Ganie, Manmohan Singhal, Mandeep K Arora

PMC · DOI: 10.7759/cureus.67453 · Cureus · 2024-08-22

## TL;DR

This study compares two criteria for detecting acute kidney injury after successful heart surgery in Kashmiri patients and finds that both are linked to higher mortality rates.

## Contribution

The paper provides a prospective comparison of RIFLE and KDIGO criteria for AKI detection in a Kashmiri cohort post-cardiac surgery.

## Key findings

- AKI was identified in 37.90% of patients using KDIGO criteria and 15.32% using RIFLE.
- Patients with AKI had significantly higher mortality rates (p < 0.001) regardless of the criteria used.
- Both RIFLE and KDIGO showed similar sensitivity and specificity in predicting mortality.

## Abstract

Background and objectives

In critically ill patients, acute kidney injury (AKI) influences mortality and morbidity. Few studies have looked at mortality and the frequency of AKI following successful heart and thoracic operations. The current study investigates the association between AKI and mortality rates among patients undergoing post-cardiac surgery care within the Cardiology & Cardio Vascular Thoracic Surgery (CVTS) Intensive Care Unit (ICU).

Methodology

In this prospective research, 124 patients who underwent successful cardiovascular and thoracic procedures between June 2022 and June 2023 were admitted to the CVTS ICU. To determine mortality, we contrasted the two scoring methods, Kidney Disease-Improving Global Outcomes (KDIGO) and Risk, Injury, Failure, Loss of kidney function, and End-stage kidney disease (RIFLE).

Results

Based on the KDIGO criteria, AKI was identified in 37.90% (n = 47) of the patients, and it was identified in 15.32% (n = 19) of the patients utilizing RIFLE. Notably, patients diagnosed with AKI using either the RIFLE criteria or KDIGO criteria exhibited considerably higher mortality rates (p< 0.001). Receiver operating characteristic (ROC) analysis demonstrated the effectiveness of both scoring systems in identifying mortality (area under the ROC curve for RIFLE = 0.224 and KDIGO = 0.150).

Conclusion

Post-cardiac surgery, AKI escalates both mortality and morbidity rates. Despite KDIGO detecting more severe renal injury and mortality, both scoring systems exhibit comparable sensitivity and specificity in predicting death among patients undergoing various cardiovascular and thoracic procedures.

## Linked entities

- **Diseases:** acute kidney injury (MONDO:0002492)

## Full-text entities

- **Diseases:** Loss of kidney function (MESH:D007680), Kidney Disease (MESH:D007674), critically ill (MESH:D016638), End-stage kidney disease (MESH:D007676), Mortality (MESH:D003643), AKI (MESH:D058186), Injury, Failure (MESH:D006333)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

30 references — full list in the complete paper: https://tomesphere.com/paper/PMC11415770/full.md

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Source: https://tomesphere.com/paper/PMC11415770