MATERIALS: We recruited consecutively adult patients with SIRS admitted to an intensive care unit. They were divided into sepsis and noninfectious SIRS based on clinical assessment with or without positive cultures. Concentrations of PCT and IL-6 were measured daily over the first 3 days.
RESULTS: A total of 239 patients were recruited, 164 (68.6%) had sepsis, and 68 (28.5%) died in hospital. The PCT levels were higher in sepsis compared with noninfectious SIRS throughout the 3-day period (P < .0001). On admission, PCT concentration was diagnostic of sepsis (area under the curve of 0.63 [0.55-0.71]), and IL-6 was predictive of mortality, (area under the curve of 0.70 [0.62-0.78]). Peak IL-6 concentration improved the risk assessment of Sequential Organ Failure Assessment (SOFA) score for prediction of mortality among those who went on to die by an average of 5% and who did not die by 2%
CONCLUSIONS: Procalcitonin measured on intensive care unit admission was diagnostic of sepsis, and IL-6 was predictive of mortality. Addition of IL-6 concentration to SOFA score improved risk assessment for prediction of mortality. Future studies should include clinical indices, for example, SOFA score, for prognostic evaluation of biomarkers.
METHODOLOGY: The test was conducted for two different road conditions, tarmac and dirt roads. HAV exposure was measured using a Brüel & Kjær Type 3649 vibration analyzer, which is capable of recording HAV exposures from steering wheels. The data was analyzed using I-kaz Vibro to determine the HAV values in relation to varying speeds of a truck and to determine the degree of data scattering for HAV data signals.
RESULTS: Based on the results obtained, HAV experienced by drivers can be determined using the daily vibration exposure A(8), I-kaz Vibro coefficient (Ƶ(v)(∞)), and the I-kaz Vibro display. The I-kaz Vibro displays also showed greater scatterings, indicating that the values of Ƶ(v)(∞) and A(8) were increasing. Prediction of HAV exposure was done using the developed regression model and graphical representations of Ƶ(v)(∞). The results of the regression model showed that Ƶ(v)(∞) increased when the vehicle speed and HAV exposure increased.
DISCUSSION: For model validation, predicted and measured noise exposures were compared, and high coefficient of correlation (R(2)) values were obtained, indicating that good agreement was obtained between them. By using the developed regression model, we can easily predict HAV exposure from steering wheels for HAV exposure monitoring.
METHODS: The NFS was calculated and LSM obtained for consecutive adult NAFLD patients scheduled for liver biopsy. The accuracy of predicting advanced fibrosis using either modality and in combination were assessed. An algorithm combining the NFS and LSM was developed from a training cohort and subsequently tested in a validation cohort.
RESULTS: There were 101 and 46 patients in the training and validation cohort, respectively. In the training cohort, the percentages of misclassifications using the NFS alone, LSM alone, LSM alone (with grey zone), both tests for all patients and a 2-step approach using LSM only for patients with indeterminate and high NFS were 5.0, 28.7, 2.0, 2.0 and 4.0 %, respectively. The percentages of patients requiring liver biopsy were 30.7, 0, 36.6, 36.6 and 18.8 %, respectively. In the validation cohort, the percentages of misclassifications were 8.7, 28.3, 2.2, 2.2 and 8.7 %, respectively. The percentages of patients requiring liver biopsy were 28.3, 0, 41.3, 43.5 and 19.6 %, respectively.
CONCLUSIONS: The novel 2-step approach further reduced the number of patients requiring a liver biopsy whilst maintaining the accuracy to predict advanced fibrosis. The combination of NFS and LSM for all patients provided no apparent advantage over using either of the tests alone.
METHODS: Recurrent abdominal pain was defined as at least three episodes of abdominal pain, severe enough to affect a child's activities over a period longer than 3 months. A health-care consulter was defined as a child who had been brought to see a doctor regarding recurrent abdominal pain at least once in the past year. Children aged between 9 and 15 years were randomly chosen from schools in the city of Petaling Jaya, given questionnaires to fill in and interviewed to determine whether they fulfilled the above criteria for having symptoms of recurrent abdominal pain and for being a consulter. Bivariate analysis and multiple logistic regression analysis were performed on the data obtained.
RESULTS: One hundred and forty-three (9.61%) children fulfilled the criteria for recurrent abdominal pain out of a total of 1488 schoolchildren interviewed. There were 65 (45.5%) consulters and 78 (54.5%) non-consulters. Among the consulters, the male to female ratio was 1:1.4, while among the non-consulters, the ratio was 1:1.1. On bivariate analysis, the Chinese had a significantly lower likelihood to consult a doctor (P = 0.02), while the other two races did not show any increase in consultation (Malays, P = 0.08; Indians, P = 0.21). Among those with severe pain, there was a significantly higher prevalence of consulters (P < 0.01). Furthermore, those whose sleep was interrupted by abdominal pain were more likely to consult (P < 0.01). Children who had consulted a doctor were more likely to be missing school because of abdominal pain (P < 0.01). Following multiple logistic regression analysis, ethnicity was no longer a significant predictor.
CONCLUSIONS: Approximately 45.5% of schoolchildren with recurrent abdominal pain in an urban setting were brought to see a doctor. Predictors of recent health-care consultation were school absence, pain severity and interruption of sleep caused by abdominal pain.