What are the factors affecting the progression of kidney failure, mortality and morbidity after cardiac surgery in patients with chronic kidney disease?

Impact of kidney disease on perioperative outcomes of endoscopic BPH surgery: a propensity score matched analysis from the NSQIP database

INTRODUCTION

To assess the impact of kidney function in patients with BPH undergoing surgery prior to Transurethral resection of prostate (TURP), Laser enucleation of the prostate (LEP), and Laser Vaporization of the prostate (LVP) on operative and post-operative outcomes using the ACS-NSQIP database.

METHODS

The ACS-NSQIP database was reviewed for patients that underwent TURP, LEP and LVP for treatment of patients with BPH between the years of 2008 and 2021. Demographics, comorbidities, bleeding disorders, operative time, and surgical procedure performed were collected for comparison between Kidney function groups: G1, normal/high function; G2-G3, mild/moderate kidney disease; and G4-G5, severe kidney disease. The 30-day peri-operative complications were measured and a multivariate logistic regression analysis was performed while adjusting for all confounding variables. Propensity score matching was performed between the G1 and G4-G5 cohorts.

RESULTS

A total of 83,020 patients were included. On multivariable regression, in the G2-G3 cohort, patients were at significantly increased risk for renal complications with OR = 2.43[1.56-3.79]. After propensity score matching, the G4-G5 cohort showed increased odds of pneumonia OR = 4.02[1.343-12.056], renal complications with OR = 7.62[2.283-25.411], cardiac complications OR = 4.53[1.531-13.411], and sepsis/septic shock OR = 1.76[1.091-2.834]. They also had a higher need for blood transfusion OR = 3.58[2.242-5.714], and prolonged hospital stay with OR = 1.49[1.296-1.723].

CONCLUSION

Pre-operative kidney disease may pose an increased risk of complications for patients undergoing endoscopic BPH surgery. The literature lacks information on the effect of pre-operative kidney disease on endoscopic BPH surgeries. Further studies are required to compare post-operative outcomes of LEP and LVP as compared to TURP across kidney function status.

Chronic Kidney Disease Classification Predicts Short-Term Outcomes of Patients Undergoing Pancreaticoduodenectomy

BACKGROUND

The impact of chronic kidney disease (CKD) on pancreaticoduodenectomy has not been well established. In this study, we investigated the effects of preoperative CKD in patients undergoing pancreaticoduodenectomy.

METHODS

A retrospective review of the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database identified patients who underwent pancreaticoduodenectomy between 2015 and 2019. The estimated glomerular filtration rate (eGFR) for each patient was calculated using the CKD-Epidemiology Collaborative (CKD-EPI) 2021 equation. Kidney function was stratified according to the Kidney Disease: Improving Global Outcomes (KDIGO) Classification: G1, normal/high function (estimated glomerular filtration rate ≥ 90 ml/min/1.73 m²); G2-G3, mild/moderate CKD (89-30 ml/min/1.73 m²); and G4-G5, severe CKD (≤ 29 ml/min/1.73 m²). The 30-day overall complications and outcomes were compared using regression models accounting for demographics and comorbidities.

RESULTS

A total of 20,656 (55.7% men) patients were identified. Univariate analysis showed that compared to G1 patients, G2-G3 and G4-G5 had higher rates of overall complications (p < 0.001), need for readmission (p = 0.004), need for reoperation (p < 0.001), discharge to the care facility (p < 0.001), death (p < 0.001), and average length of stay (p < 0.001). On multivariable regression, G2-G3 renal function was found to be an independent risk factor for overall (1.10 [1.04-1.17], p = 0.002), pulmonary (1.23 [1.10-1.37], p < 0.001), hematologic (1.08 [1.02-1.16], p = 0.015), and renal (1.29 [1.11-1.49], p < 0.001) complications; discharge to care facility (1.10 [1.02-1.19], p = 0.045); and 30-day mortality (1.25 [1.01-1.56], p = 0.045). G4-G5 renal function was a predictor of worse outcomes for the prior variables and an independent risk factor for cardiovascular complications (2.70 [1.44-4.96], p = 0.001) and length of stay (1.32 [1.13-1.56], p < 0.001).

CONCLUSIONS

The degree of CKD was related to the overall complications and outcomes after pancreaticoduodenectomy. Therefore, the CKD classification should be strongly considered in the preoperative risk stratification of these patients.

A new model to predict acute kidney injury after cardiac surgery in patients with renal insufficiency

Objective

To establish a simple model for predicting postoperative acute kidney injury (AKI) requiring renal replacement therapy (RRT) in patients with renal insufficiency (CKD stages 3–4) who underwent cardiac surgery.

Methods

A total of 330 patients were enrolled. Among them, 226 were randomly selected for the development group and the remaining 104 for the validation group. The primary outcome was AKI requiring RRT. A nomogram was constructed based on the multivariate analysis with variables selected by the application of the least absolute shrinkage and selection operator. Meanwhile, the discrimination, calibration, and clinical power of the new model were assessed and compared with those of the Cleveland Clinic score and Simplified Renal Index (SRI) score in the validation group. Results: The rate of RRT in the development group was 10.6% (n = 24), while the rate in the validation group was 14.4% (n = 15). The new model included four variables such as postoperative creatinine, aortic cross‐clamping time, emergency, and preoperative cystatin C, with a C-index of 0.851 (95% CI, 0.779–0.924). In the validation group, the areas under the receiver operating characteristic curves for the new model, SRI score, and Cleveland Clinic score were 0.813, 0.791, and 0.786, respectively. Furthermore, the new model demonstrated greater clinical net benefits compared with the Cleveland Clinic score or SRI score.

Conclusions

We developed and validated a powerful predictive model for predicting severe AKI after cardiac surgery in patients with renal insufficiency, which would be helpful to assess the risk for severe AKI requiring RRT.