Prognostic values of the C-reactive protein to albumin ratio and prognostic nutritional index in carotid endarterectomy patients.

OBJECTIVES: C-reactive protein to albumin ratio (CAR) and prognostic nutritional index (PNI) are novel parameters with proven prognostic importance in the postoperative outcomes of coronary and peripheral vascular diseases. In this study, we aimed to evaluate the ability of CAR and PNI to predict major cardiac and cerebrovascular events (MACCE) during the postoperative period of Carotid artery endarterectomy (CEA). METHODS: A total of 505 carotid endarterectomy patients were retrospectively evaluated. Of 505 patients, 23 patients who died and who experienced myocardial infarction or major neurologic complication in the first 30 days after the operation were included in MACCE group (Group 1). The remaining 482 patients were included in Group 2. Receiver operating characteristics (ROC) curve analysis was used to evaluate preoperative serum albumin value, lymphocytes count, PNI, and CAR to predict the MACCE. The DeLong test was used to compare the area below the curve (AUC) with each of these parameters. RESULTS: CAR (2.48 ± 1.82 and 1.64 ± 1.37) and CRP (9.98 ± 7.42 and 6.81 ± 5.70) values are statistically higher in Group 1 than in Group 2. PNI (41.59 ± 3.11 and 43.54 ± 4.20) and albumin (40.43 ± 3.15 and 42.35 ± 4.15) values were significantly lower in Group 1 than in Group 2. The accuracy of albumin (AUC: 0.669) in the prediction of MACCE was found to be the highest among CAR (AUC: 0.631), PNI (AUC:0.667), and CRP (AUC:0.631). CONCLUSION: Preoperative nutritional and inflammatory status is significantly associated with post-operative outcomes. PNI and CAR can be used for preoperative evaluation, as CEA is recommended for patients who have low possibility of having postoperative major adverse events.

Clinical Use of Tailored Computed Tomography to Prevent Poststernotomy Dehiscence.

BACKGROUND: Morphological and tissue density analysis of the sternum can be performed in the preoperative computed tomography (CT). The purpose of this study was to analyze morphology and tissue density of sternum in CT and effect for comparison sternal instability. METHODS: Patients with sternal instability (n = 61) and sternal stability (n = 66) were enrolled in this study. All of the patients were studied using same thorax CT procedure. All the measurements were performed by one specific cardiovascular radiologist. The Hounsfield units (HUs) were measured in axial sections of the sternum trabecular bone. RESULTS: Sternal instability group mean HU was 75.36 ± 13.19 and sternal stability group HU was 90.24 ± 12.16 (p < 0.000). HU is the statically significant predictor of sternal instability. CONCLUSION: Our study showed a significant correlation between the mean HU value of sternum and sternal instability. We think that it is important to evaluate the existing thorax CT while performing preoperative risk analysis for sternal dehiscence.