RESUMO
<p><b>PURPOSE</b>The aim of this study was to analyze the trend of road traffic fatalities in Kashan Region, Iran, in a period of eight years.</p><p><b>METHODS</b>Through a cross-sectional study, all road traffic deaths classified under the V01V99 codes according to ICD-10 in Kashan region, central Iran, from March 2006 to March 2013 and population data were collected from the registration system of Kashan University of Medical Sciences. Years of lost life (YLL) and mortality rates were calculated regarding age, gender and year of the accident. Generalized linear model (GLM) with Poisson log-linear link was used to evaluate the effects of the mentioned variables on mortality rate.</p><p><b>RESULTS</b>During the period of the study (8 years), 928 people (767 men) died due to road traffic injuries (RTIs). The total YLL was 20,818. The mortality rate due to RTIs has been declined constantly from 43.1 in March 2006 to 21.1 per 100,000 in March 2013. The highest mortality rate was found in the age group of over 60 years old and the lowest in the age group of 0-14 years old. Both mortality rate and YLL was greater in men than in women. Poisson regression showed that age, gender and year of the accidents had a significant effect on mortality rate (p < 0.001).</p><p><b>CONCLUSION</b>Although there has been a constant decline of mortality rate in Kashan area within the study period, the value remains higher than the mean level of Eastern Mediterranean region and the global average, which is a notable fact for policymakers and authorities.</p>
RESUMO
OBJECTIVE: To evaluate diagnostic value of vaginal pH and cervical length measurement in the second trimester of pregnancy as a preterm labor (PTL) predictor. METHODS: During a prospective cohort study 438 uncomplicated singleton pregnant women between 18 and 24 weeks of gestation were assessed regarding vaginal PH and cervical length. Vaginal pH was measured using Ph-indicator strips and cervical length was determined using transvaginal ultrasound. The cut-off values for vaginal PH and cervical length were defined as 5 and <30 mm respectively. RESULTS: Vaginal pH of 5 and above was found in 162/438 women (37%) while cervical length <30mm was found in 38/438 (8.7%). The incidence of PTL < 37 weeks was 87/438 (19.9%) while the incidence of early (PTL <34 weeks) was 51/438 (11.6%). Predictive value of higher vaginal PH was significantly more (31%) than vaginal PH<5 (13%) in predicting PTL. As a result, alkaline vaginal PH significantly increases the odds of preterm labor (OR=3.06). Shortened cervical length is better predictor of PTL than higher vaginal PH with positive predictive value of 71% and negative predictive value of 85%. Cervical length less than 30 mm nearly 14-fold increases odds of preterm birth (OR=13.9). CONCLUSION: Compared to alkaline vaginal PH, shortened cervical length has better value to predict PTL overall. However, regarding early or late PTL, vaginal PH is more accurate to predict late PTL, while cervical length measurement is more appropriate to predict early PTL (<34 weeks).
RESUMO
<p><b>OBJECTIVE</b>To compare the value of Glasgow coma scale (GCS) and cerebral state index (CSI) on predicting hospital discharge status of acute brain-injured patients.</p><p><b>METHODS</b>In 60 brain-injured patients who did not receive sedatives, GCS and CSI were measured daily during the first 10 days of hospitalization. The outcome of prognostic cut-off points was calculated by GCS and CSI using receiver operating characteristic (ROC) curve regarding the time of admission and third day of hospitalization. Sensitivity, specificity and other predictive values for both indices were calculated.</p><p><b>RESULTS</b>Of the 60 assessed patients, 14 patients had mild, 13 patients had moderate and 33 patients had severe injuries. During the course of the study, 17 patients (28.3%) deteriorated in their situation and died. The mean GCS and CSI in patients who deceased during hospitalization was significantly lower than those who were discharged from the hospital. GCS<4.5 and CSI<64.5 at the time of admission was associated with higher mortality risk in traumatic brain injury patients and GCS was more sensitive than CSI to predict in-hospital death in these patients. For the first day of hospitalization, the area under ROC curve was 0.947 for GCS and 0.732 for CSI.</p><p><b>CONCLUSION</b>GCS score at ICU admission is a good predictor of in-hospital mortality. GCS<4.5 and CSI<64.5 at the time of admission is associated with higher mortality risk in traumatic brain injury patients and GCS is more sensitive than CSI in predicting death in these patients.</p>
