Association between preoperative serum myoglobin and acute kidney injury after Stanford Type A aortic dissection surgery

Development of acute kidney injury following repair of Stanford type A aortic dissection is associated with increased mortality and complications: a systematic review, meta-analysis, and meta-regression analysis

Acute kidney injury (AKI) frequently complicates the repair of Stanford type A aortic dissection (TAAD). This systematic review, meta-analysis, and meta-regression analysis aimed to elucidate the prognostic impact of AKI in these patients. A literature search in PubMed, EMBASE, and Google Scholar identified relevant studies on the predictors and outcomes of AKI following TAAD repair. The primary endpoint was 30-day mortality; secondary endpoints included stroke, dialysis/continuous renal replacement therapy (CRRT), and other complications. Random-effects meta-analyses were used, with significance set at P < 0.05. Twenty-one studies (10 396 patients) were analyzed. AKI was associated with higher risks of 30-day mortality (risk ratio = 3.98), stroke (risk ratio = 2.05), dialysis/CRRT (risk ratio = 32.91), cardiovascular (risk ratio = 2.85) and respiratory complications (risk ratio = 2.13), sepsis (risk ratio = 4.92), and re-exploration for bleeding (risk ratio = 2.46). No significant differences were noted in sternal wound infection, tracheostomy, paraplegia, or hepatic failure. AKI significantly increases mortality, morbidity, hospital, and ICU stay duration in TAAD repair patients.

Preoperative leptin levels were associated with postoperative acute kidney injury in patients with acute type A aortic dissection

OBJECTIVE

Acute kidney injury (AKI) is a common surgical complication of acute type A aortic dissection (AAAD) and strongly associated with an unfavorable prognosis. Although elevated leptin levels have been identified as a potential risk factor for chronic kidney disease in middle-aged and elderly individuals, their association with AKI following AAAD surgery remains unknown. This study investigated the association between preoperative leptin levels and postoperative AKI in patients with AAAD.

METHODS

This study included 159 patients with AAAD at Fujian Heart Medical Center. The Kidney Disease: Improving Global Outcomes standards were used to define and classify AKI. The receiver operating characteristic (ROC) curves were used to assess the ability of leptin levels to predict AKI. Binary logistic regression analysis was used to study the association between leptin level and AKI.

RESULTS

The incidence of AKI was 33.96%. Leptin levels in the AKI group and stage 1, 2, and 3 AKI groups were higher than those in the non-AKI group (p < 0.05). Multivariate analysis revealed that elevated leptin levels were an independent risk factor for AKI (p < 0.001). ROC analysis of leptin detection for AKI showed an area under the curve of 0.71. The risk of AKI in the high-level group (leptin levels ≥3.62 ng/mL) was 3.87 times to the low-level group (leptin levels < 3.62 ng/mL).

CONCLUSION

Elevated leptin levels are associated with AKI, and plasma leptin may serve as a potential early blood biomarker for AKI in patients with AAAD.

Prediction of acute kidney injury incidence following acute type A aortic dissection surgery with novel biomarkers: a prospective observational study

BACKGROUND

Acute kidney injury (AKI) is a prevalent complication following acute type A aortic dissection (ATAAD) surgery and is closely associated with unfavorable prognostic outcomes. Hence, the development of a robust and efficient diagnostic approach to identify high-risk patients is of paramount importance.

METHODS

We conducted a prospective study involving 328 patients who underwent ATAAD surgery at our institution, comprising three distinct cohorts. In addition, 52 patients undergoing alternative cardiopulmonary surgeries and 37 healthy individuals were enrolled as control groups. Employing proteomic analysis, we initially identified plasma proteins potentially linked to AKI occurrence within the plasma proteomic cohort. Subsequent validation was performed in an independent cohort. Utilizing predictors derived from multivariate logistic regression analysis, a nomogram was meticulously formulated and its efficacy was validated in the model construction cohort.

RESULTS

Proteomics revealed significant elevation of plasma levels of S100A8/A9, pentraxin 3 (PTX3), and chitinase 3-like 1 (CHI3L1) immediately post-surgery in patients who developed ATAAD surgery-associated AKI (ASA-AKI). Receiver operating characteristic (ROC) curves demonstrated impressive predictive performance of S100A8/A9, PTX3, and CHI3L1 at 0 h post-surgery, yielding area under the curve (AUC) values of 0.823, 0.786, and 0.803, respectively, for ASA-AKI prediction. Furthermore, our findings exhibited positive correlations between plasma levels of S100A8/A9, PTX3, CHI3L1, and urinary neutrophil gelatinase-associated lipocalin (NGAL) at 0 h post-surgery, along with correlations between plasma S100A8/A9, CHI3L1 levels, and the Cleveland Clinic score. A logistic regression model incorporating plasma S100A8/A9, PTX3, CHI3L1 levels, urinary NGAL levels, and the Cleveland Clinic score facilitated the construction of a predictive nomogram for ASA-AKI. This nomogram demonstrated robust discriminative ability, achieving an AUC of 0.963 in the model construction cohort.

CONCLUSIONS

Our study underscored the augmentation of plasma S100A8/A9, PTX3, and CHI3L1 levels immediately post-surgery in patients developing ASA-AKI. The incorporation of these three biomarkers, in conjunction with the Cleveland Clinic score and NGAL, into a nomogram demonstrated commendable predictive efficacy. This presents a practical tool for identifying patients at an elevated risk of AKI following ATAAD surgery.

The predictive values of monocyte-lymphocyte ratio in postoperative acute kidney injury and prognosis of patients with Stanford type A aortic dissection

Objectives

Postoperative acute kidney injury (pAKI) is a serious complication of Stanford type A aortic dissection (TAAD) surgery, which is significantly associated with the inflammatory response. This study aimed to explore the relationship between blood count-derived inflammatory markers (BCDIMs) and pAKI and to construct a predictive model for pAKI.

Methods

Patients who underwent TAAD surgery were obtained from our center and the Medical Information Mart for Intensive Care (MIMIC)-IV database. The differences in preoperative BCDIMs and clinical outcomes of patients with and without pAKI were analyzed. Logistic regression was used to construct predictive models based on preoperative BCDIMs or white cell counts (WCCs). The performance of the BCDIMs and WCCs models was evaluated and compared using the receiver operating characteristic (ROC) curve, area under the ROC curve (AUC), Hosmer-Lemeshow test, calibration plot, net reclassification index (NRI), integrated discrimination improvement index (IDI), and decision curve analysis (DCA). The Kaplan-Meier curves were applied to compare the survival rate between different groups.

Results

The overall incidence of pAKI in patients who underwent TAAD surgery from our center was 48.63% (124/255). The presence of pAKI was associated with longer ventilation time, higher incidence of cerebral complications and postoperative hepatic dysfunction, and higher in-hospital mortality. The results of the logistic regression indicated that the monocyte-lymphocyte ratio (MLR) was an independent risk factor for pAKI. The BCDIMs model had good discriminating ability, predictive ability, and clinical utility. In addition, the performance of the BCDIMs model was significantly better than that of the WCCs model. Analysis of data from the MIMIC-IV database validated that MLR was an independent risk factor for pAKI and had predictive value for pAKI. Finally, data from the MIMIC-IV database demonstrated that patients with a high MLR had a significantly poor 28-day survival rate when compared to patients with a low MLR.

Conclusion

Our study suggested that the MLR is an independent risk factor for pAKI. A predictive model based on BCDIMs had good discriminating ability, predictive ability, and clinical utility. Moreover, the performance of the BCDIMs model was significantly better than that of the WCCs model. Finally, a high MLR was significantly associated with poor short-term survival of patients who underwent TAAD surgery.