Background Several risk scores have been developed to predict acute kidney injury (AKI) after cardiac surgery. We evaluated the accuracy of eight prediction models using the gray zone approach in patients who underwent aortic surgery. Patients and Methods We retrospectively applied the risk scores of Palomba, Wijeysundera, Mehta, Thakar, Brown, Aronson, Fortescue, and Rhamanian to 375 consecutive adult patients undergoing aortic surgery with cardiopulmonary bypass. The area under the receiver operating characteristic curve (AUC) and gray zone approach were used to evaluate the accuracy of the eight models for prediction of AKI, as defined by the RIFLE criteria. Results The incidence of AKI was 29% (109/375). The AUC for predicting AKI requiring dialysis ranged from 0.66 to 0.84, excluding the score described by Brown et al (0.50). The AUC for predicting the RIFLE criteria of risk and higher ranged from 0.57 to 0.68. The application of gray zone approach resulted in more than half of the patients falling in the gray zone: 275 patients (73%) for Palomba, 221 (59%) for Wijeysundera, 292 (78%) for Mehta, 311 (83%) for Thakar, 329 (88%) for Brown, 291 (78%) for Aronson, 205 (54%) for Fortescue, and 308 (82%) for Rhamanian. Conclusion More than half of the patients in our study sample were in the gray zone of eight scoring models for AKI prediction. The two cutoffs of the gray zone can be used when using risk models. A surgery-specific and more accurate prediction model with a smaller gray zone is required for patients undergoing aortic surgery.

BackgroundIt is widely accepted that cervical interlaminar steroid injection (CIESI) is more effective in treating radicular pain than axial neck pain, but without direct comparison. And the differences of effect after CIESI according to MRI findings are inconsistent. In this retrospective study, we evaluated the therapeutic response of CIESI according to pain sites, durations, MRI findings, and other predictive factors altogether, unlike previous studies, which evaluated them separately.MethodsThe medical records of 128 patients who received fluoroscopy guided CIESI were analyzed. We evaluated the therapeutic response (more than a 50% reduction on the visual analog scale [VAS] by their second visit) after CIESI by (1) pain site; neck pain without radicular pain/radicular pain with or without neck pain, (2) pain duration; acute/chronic (more than 6 month), and (3) findings of MRI; herniated intervertebral disc (HIVD)/spinal stenosis, respectively and altogether.ResultsEighty-eight patients (68%) responded to CIESI, and there were no significant differences in demographic data, initial VAS score, or laboratory findings. And there were no significant differences in the response rate relating to pain site, pain duration, or MRI findings, respectively. In additional analysis, acute radicular pain with HIVD patients showed significantly better response than chronic neck pain with spinal stenosis (P = 0.04).ConclusionsWe cannot find any sole predictive factor of therapeutic response to the CIESI. But the patients having acute radicular pain with HIVD showed the best response, and those having other chronic neck pain showed the worst response to CIESI.

The influence of body-mass index (BMI) on spinal anesthesia is still controversial, with discrepant results reported in previous studies. To compare spinal anesthesia in obese and non-obese subjects, the anesthesia profiles in patients who underwent spinal anesthesia using intrathecal hyperbaric bupivacaine were compared. A total of 209 patients undergoing elective total knee replacement arthroplasty (TKRA) surgery under spinal anesthesia were divided into an NO (non-obese) group (BMI < 30 kg/m2, n = 141) and an O (obese) group (BMI ≥ 30 kg/m2, n = 68). Anesthesia was deemed successful if a bilateral T12 sensory block occurred within 15 minutes of intrathecal drug administration, and if the level of sensory block was higher than T12 when the surgery ended. Logistic regression analysis with multiple variables known to influence spinal anesthesia was performed to identify which parameters independently determined the spinal anesthesia outcome. Similar doses of bupivacaine were administered to the NO and O groups. The incidence of anesthesia failure was significantly lower in the O group [n = 43 (30.5%) in the NO group vs. n = 10 (18.9%) in the O group, p = 0.014]. The independent predictors for successful anesthesia in all patients were dose of hyperbaric bupivacaine [odds ratio (OR) 2.12, 95% CI: 1.64–2.73] and obese status (BMI ≥ 30 kg/m2, OR 2.86, 95% CI: 1.25–6.52). Time to first report of postoperative pain and time to first self-void were significantly longer in the O group. These results suggest that the duration of block with hyperbaric bupivacaine is prolonged in obese patients and obesity is independently associated with spinal anesthesia outcomes, as is bupivacaine dosage. A further study enrolling patients with morbid obesity and using a fixed bupivacaine dosage is required to confirm the effect of obesity on spinal anesthesia.