Prediction Scale for Acute Kidney Injury in Mexicans patients undergoing Cardiac Surgery-the AKIM-score.

https://storage.unitedwebnetwork.com/files/1099/07caf3b6d6f4159dfb2322e8c8dba37e.pdf
Prediction Scale for Acute Kidney Injury in Mexicans patients undergoing Cardiac Surgery-the AKIM-score.
Frida Margarita
de la Vega Mendez
Maria Lilia Rizo Topete marili18@hotmail.com Universidad de Monterrey, Hospital Christus Muguerza Alta Especialidad Departamento de Medicina Interna Monterrey, Nuevo León
Maria Elena Romero Ibarguengoitia mariaelenaromero@gmail.com Universidad de Monterrey Escuela de Medicina Monterrey, Nuevo León
Arnulfo Gonazález Cantú agonzalezcantu@gmail.com Universidad de Monterrey, Hospital Christus Muguerza Alta Especialidad Departamento de Educación e Investigación en Salud Monterrey, Nuevo Léon
 
 
 
 
 
 
 
 
 
 
 
 

This study aimed to perform and validate a scale to predict Acute kidney injury (AKI) in patients not requiring renal replacement therapy after coronary artery bypass graft (CABG), using Kidney Disease Improving Global Outcomes (KDIGO) criteria.   

This was a retrospective case-control study that included patients over 18 years old who underwent CABG at a third-level hospital from 2013 to 2018 who could develop or not AKI based on the KDIGO criteria. A risk score was developed based on logistic regression modeling and validate using a 10 fold validation.

A total of 191 patients were included in the study; the mean (SD) age was 64.2 (9.2%) years, 161(84.3%) were men. The number of AKI events was 71 (37.1%). Based on the regression model, the predictor factors for AKI where: age (OR 1.052), congestive heart failure (OR 6.201), left predominant coronary lesion with occlusion >90% (OR 3.673), pump time (OR 1.013), and haemoglobin <12mg/dl  (OR 0.245).  Based on these variables, we computed a scale (AKIM-score) ranged from 0-15, we validated the scale using a 10 fold validation where a score between 5-8 was considered a moderate risk, and > 9 was considered high risk for AKI based on the specificity of each score. A score greater than or equal to 9 had a specificity greater than 0.8 as determined by the 10 fold validation model. 


Table 1 Medical history by groups

 

Characteristic

(n=191)

AKI negative

(n=120)

AKI positive

 (n=71)

p-value

Age (years)

62.6 (9.1)

67.06 (8.7)

0.001

Gender (men)

105 (87.5)

56 (78.8)

0.113

BMI

28.4 (4.0)

28.3 (5.1)

0.836

DM2

45 (37.5)

38 (53.5)

0.031

PVD

7 (5.8)

2 (2.8)

0.342

CHF

6 (5)

16 (22.5)

0.000

COPD

0 (0)

3 (4.2)

0.023

Hypertension

76 (63.3)

51 (71.8)

0.229

Smoking status

Never smoked

 Ex-smoker

 Current smoker

 

81 (67.5)

12 (10)

27 (22.5)

 

59 (83)

3 (4.22)

9 (12.6)

 

 

0.059

Prior MI 

None

 One

 ≥2

 

75 (62.5)

39 (32.5)

6 (5)

 

42 (59.1)

28 (39.4)

1 (1.4)

 

 

0.322

Triple vessel disease

95(79.1)

53 (74.6)

0.470

Previous Bypass surgery

 

4 (3.3)

 

2 (2.8)

 

0.843


























Results are expressed as mean (SD) if they are continuous variables or frequency (%) if they are categorical

Chi2 and t-test were performed for group comparisons. P <0.05 was considered statistically significant. Hypertension was defined as treated or blood pressure >140/90 mmHg. Abbreviations: AKI: acute Kidney injury, BMI: body mass index.  DM2: diabetes mellitus, PVD: peripheral vascular disease.   CHF: congestive heart failure, COPD: chronic obstructive pulmonary disease. MI: myocardial infarction.  BMI: Body mass index. 


Table 2 Pre-operative characteristics associated with AKI by group

Characteristic

(n=191)

AKI negative (n=120)

AKI positive (n=71)

p-value

Anginaa

  Without angina

  CCS 1

  CCS 2

  CCS 3

  CCS 4

 

4(3.3)

8(6.7)

80(66.7)

27(22.5)

1(0.8)

 

0(0)

1(1.4)

40(60.6)

27(38)

0(0)

 

 

0.047*

Conclusions

In our predictive model, we found that age and factors related to heart function predicted AKI development in patients who underwent CABG in our population. We developed AKIM-score, where a range from 1-4 was associated with low risk, 5-8 with moderate risk, and a score >9 is associated with a high risk of AKI. 

E-Poster Format Requirements
  • PDF file
  • Layout: Portrait (vertical orientation)
  • One page only (Dim A4: 210 x 297mm or PPT)
  • E-Poster can be prepared in PowerPoint (one (1) PowerPoint slide) but must be saved and submitted as PDF file.
  • File Size: Maximum file size is 2 Megabytes (2 MB)
  • No hyperlinks, animated images, animations, and slide transitions
  • Language: English
  • Include your abstract number
  • E-posters can include QR codes, tables and photos