Preoperative hidden renal dysfunction add an age dependent risk of progressive chronic kidney disease after cardiac surgery

The clinical outcome of minor changes in serum creatinine for patients after curative gastrectomy: a prospective study

Introduction

Patients with renal insufficiency are more prone to postoperative complications (PCs). Studies have shown that minor changes in serum creatinine (SCr), immediately post-surgery, can aid in assessing patients' renal function. This study aimed to explore the relationship between the changes in SCr and PCs in patients with gastric cancer (GC).

Materials and methods

We prospectively collected data regarding the SCr of 530 GC patients, within 2 weeks before surgery and within 24 hours after surgery in our hospital (2014-2016). The patients were divided into three groups according to the level of SCr change after surgery: reduced (<10%), normal (10%), and elevated (>10%) creatinine groups. Univariate and multivariate logistic analysis were performed to evaluate its correlation with short-term PCs in the patients. The R language was used to construct a nomogram.

Results

83, 217, and 230 patients were assigned to the elevated, reduced, and normal SCr groups, respectively. Multivariate analysis showed that the reduced and elevated SCr groups were independently associated with the occurrence of PCs and severe postoperative complications (SPCs), respectively. Additionally, postsurgical SCr change, age, hypoalbuminemia, total gastrectomy, combined resection, and laparoscopy, were independently related to PCs. Combining the above influential factors, the predictive model can distinguish patients with PCs more reliably (c-index is 0.715).

Conclusion

Post-surgery, reduced SCr is a protective factor for PCs, while elevated serum creatinine is an independent risk factor for SPCs. Our nomogram can identify GC patients with high risks of PCs.

A pilot study to explore patterns and predictors of delayed kidney decline after cardiopulmonary bypass

There is no current consensus on the follow up of kidney function in patients undergoing cardiopulmonary bypass (CPB). The main objectives of this pilot study is to collect preliminary data on kidney function decline encountered on the first postoperative visit of patients who have had CPB and to identify predictors of kidney function decline post hospital discharge. Design: Retrospective chart review. Adult patients undergoing open heart procedures utilizing CPB. Patient demographics, type of procedure, pre-, intra-, and postoperative clinical, hemodynamic echocardiographic, and laboratory data were abstracted from electronic medical records. Acute kidney disease (AKD), and chronic kidney disease (CKD) were diagnosed based on standardized criteria. Interval change in medications, hospital admissions, and exposure to contrast, from hospital discharge till first postoperative visit were collected. AKD, and CKD as defined by standardized criteria on first postoperative visit. 83 patients were available for analysis. AKD occurred in 27 (54%) of 50 patients and CKD developed in 12 (42%) out of 28 patients. Older age was associated with the development of both AKD and CKD. Reduction in right ventricular cardiac output at baseline was associated with AKD (OR: 0.5, 95% CI: 0.3, 0.79, P = 0.01). Prolongation of transmitral early diastolic filling wave deceleration time was associated with CKD (OR: 1.02, 95% CI: 1.01, 1.05, P = 0.03). In-hospital acute kidney injury (AKI) was a predictor of neither AKD nor CKD. AKD and CKD occur after CPB and may not be predicted by in-hospital AKI. Older age, right ventricular dysfunction and diastolic dysfunction are important disease predictors. An adequately powered longitudinal study is underway to study more sensitive predictors of delayed forms of kidney decline after CPB.

Leveling Up: A Review of Machine Learning Models in the Cardiac ICU

Machine learning has emerged as a significant tool to augment the medical decision-making process. Studies have steadily accrued detailing algorithms and models designed using machine learning to predict and anticipate pathologic states. The cardiac intensive care unit is an area where anticipation is crucial in the division between life and death. In this paper, we aim to review important studies describing the utility of machine learning algorithms to describe the future of artificial intelligence in the cardiac intensive care unit, especially in regards to the prediction of successful ventilatory weaning, acute respiratory distress syndrome, arrhythmia, and acute kidney injury.

Impact of sarcopenia on the progress of cardiac rehabilitation and discharge destination after cardiovascular surgery

[Purpose] To investigate the factors that affect the progress of cardiac rehabilitation, length of stay in the hospital, and discharge destination after cardiovascular surgery. [Participants and Methods] This was a prospective observational study. Sixty-seven patients scheduled to undergo open-heart surgery were included in the study. We evaluated physical and psychiatric functions pre- and post-surgery. Sarcopenia was defined as a short physical performance battery score of <9.5. [Results] Sarcopenia was a significant factor of delay of the day of the first rehabilitation, independence in 100-m walking, and exercise training at the rehabilitation gym. Comparisons between pre- and post-surgery were performed in the sarcopenia group. No significant decreases in physical and psychiatric functions were found. The discharge transfer rate was significantly different between the sarcopenia and non-sarcopenia groups. Sarcopenia and the decline in balance score significantly correlated with discharge transfer. [Conclusion] Cardiac rehabilitation can achieve recovery of physical and psychiatric functions even in patients with sarcopenia; however, the discharge transfer rate among the patients with sarcopenia was high. Improving balance ability may result in early home discharge.

Identification of risk factors for acute kidney injury after pulmonary endarterectomy with cardiopulmonary bypass

The letter to the editor made several comments on possible issues in the recent article by Zhang et al. determining the risk factors of acute kidney injury after pulmonary endarterectomy with cardiopulmonary bypass, which has been published in Journal of Cardiothoracic Surgery at December 30, 2019.