Factors associated with temporal window failure in transcranial Doppler sonography.

BACKGROUND: Temporal window failure (TWF) is found in 8-20% of subjects. There are still insufficient studies about the factors affecting TWF. We aimed to elucidate the underlying causes of TWF. METHODS: We analyzed 376 patients who underwent both transcranial Doppler sonography and cerebral angiographic imaging. They were divided into two groups: with and without TWF. Demographics, cardiovascular factors, degree of stenosis from the proximal intracranial artery to the middle cerebral artery (MCA), MCA diameter, and skull features were examined. RESULTS: The subjects were 314 TWF-negative patients and 62 TWF-positive patients. The TWF-negative group was younger than that of the TWF-positive group (67.0 ± 12.1 vs. 75.2 ± 9.4, p < 0.001). The proportion of men in the TWF-negative group was higher than in the TWF-positive group (71% vs. 29%; p < 0.001). The TWF-negative group had a higher smoking rate than the TWF-positive group (34.4% vs. 12.9%; p = 0.001). In multivariate logistic regression analysis, age (odds ratio (OR), 1.05; p = 0.019), sex (OR, 4.64; p = 0.002), temporal bone thickness (OR, 6.03; p < 0.001), temporal bone density (OR, 0.996; p = 0.002), and soft tissue thickness (OR, 1.31; p = 0.004) significantly affected TWF. CONCLUSIONS: In addition to age, sex, temporal bone thickness, and temporal bone density which were previously reported as variables associated with TWF, we confirmed that soft tissue thickness of the temporal area is a new associated factor of TWF. Measuring soft tissue thickness of the temporal area for patients with suspected TWF could be useful in identifying measurement error due to technical problems.

Additional role of urine output criterion in defining acute kidney injury.

BACKGROUND: Diagnosis of acute kidney injury (AKI) has been a major concern due to its association with increased morbidity and mortality. However, the clinical implication of the urine output criterion (UOCr) in diagnosing AKI has not been fully established. METHODS: We assessed the incidence of AKI among 1625 critically ill patients and analysed the overall survival rates based on the serum creatinine criterion (CrCr) and UOCr, both of which have been defined by the AKI Network (AKIN). RESULTS: Within 7 days of admission, the risk rate of AKI was 57.0% and the rate determined by UOCr alone was 25.7%. AKI determined by the UOCr alone increased hazard ratios (HRs) for mortality; 1.81 (Stage 1), 2.96 (Stage 2) and 4.17 (Stage 3) compared to non-AKI. However, the difference in mortality between Stages 2 and 3 using the CrCr alone was not significant (P = 0.881). In patients with Stages 2 and 3 by the CrCr, the UOCr further separated the survival rates (P = 0.001 among the four UOCr stages). The diuretic dose did not alter the discriminative function of the UOCr for survival rates. However, 42.1% of non-AKI cases, as determined by the UOCr, were identified as AKI cases by the CrCr. CONCLUSION: Although some AKI cases were not identified by the UOCr alone, the UOCr has an additional role in AKI staging, regardless of diuretic use.