ObjectiveTo determine the incidence of preeclampsia with severe features among pregnant women and evaluate the characteristics, maternal complications, and perinatal outcomes between nonsevere preeclampsia versus preeclampsia with severe features and hemolysis, elevated liver enzyme levels, and low platelet levels (HELLP) syndrome.Materials and methodsA retrospective descriptive study was conducted at Khon Kaen University’s Srinagarind Hospital, a tertiary care facility in northeast Thailand. The pregnant women who had been diagnosed with preeclampsia according to American College of Obstetricians and Gynecologists guidelines from January 1, 2012 to December 31, 2016 were identified and their medical records were reviewed. Various characteristics were examined to compare maternal complications and perinatal outcomes.ResultsThere was a total of 11,199 deliveries during the study period, out of which 213 preeclamptic women were identified. One hundred and seven women (9.6 per 1,000 deliveries) were diagnosed with nonsevere preeclampsia, 90 (8 per 1,000 deliveries) had preeclampsia with severe features, and 16 (1.4 per 1,000 deliveries) had HELLP syndrome. Twenty-one women (9.9%) experienced postpartum hemorrhage; 11 (10.3%) in the nonsevere features preeclampsia group and 10 (9.4%) in the preeclampsia with severe features and HELLP syndrome group. Placental abruption (3 women; 1.4%) and heart failure (1 women; 0.4%) only occurred among women in the preeclampsia with severe features group. Neonatal complications were significantly higher in the preeclampsia with severe features and HELLP syndrome group (low birth weight =35.1% versus 74.3%, p<0.001; birth asphyxia =4.4% versus 18.2%, p=0.001; neonatal intensive care unit admission =7.0% versus 30.9%, p<0.001; neonatal resuscitation =15.8% versus 42.7%, p<0.001). Stillbirths only occurred in cases of preeclampsia with severe features and HELLP syndrome (3 cases, 1.4%). Intrapartum death was higher in cases of preeclampsia with severe features and HELLP syndrome, but without statistical significance (2.6% versus 6.4%, p=0.190).ConclusionThe incidence of preeclampsia with severe features and HELLP syndrome was 9.5 per 1,000 deliveries. Severe maternal and perinatal outcomes were more commonly observed.

Status epilepticus (SE) is a serious neurological condition. The national database of SE in Thailand and other developing countries is limited in terms of incidence and treatment outcomes. This study was conducted on the prevalence of status epilepticus (SE). The study group comprised of adult inpatients (over 18 years old) with SE throughout Thailand. SE patients were diagnosed and searched based on ICD 10 (G41) from the national database. The database used was from reimbursement documents submitted by the hospitals under the three health insurance systems, namely, the universal health coverage insurance, social security, and government health welfare system during the fiscal year 2010. We found 2190 SE patients receiving treatment at hospitals (5.10/100 000 population). The average age was 50.5 years and 1413 patients were males (64.5%). Mortality rate was 0.6 death/100 000 population or 11.96% of total patients. Significant factors associated with death or a nonimproved status at discharge were type of insurance, hospital level, chronic kidney disease, having pneumonia, having shock, on mechanical ventilator, and having cardiopulmonary resuscitation. In conclusion, the incidence of SE in Thailand was 5.10/100 000 population with mortality rate of 0.6/100 000 population.

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women who were healthy and between 20 and 84 years old. Anthropometric measures such as weight (kilograms), height (centimeters), BMI (kilograms per meter squared), waist circumference (centimeters), hip circumference (centimeters), thickness at triceps skinfold (millimeters), biceps skinfold (millimeters), subscapular skinfold (millimeters), and suprailiac skinfold (millimeters) were also measured. The sample was randomly divided into a development group (98 men and 125 women) and a validation group (83 men and 130 women). Regression equations of %BF derived from the development group were then evaluated for accuracy in the validation group. ) for both equations was 0.68. Without anthropometric variables, the predictive equation using BMI, age, and sex was: %BF ϭ 1.65 ϫ BMI ϩ 0.06 ϫ age Ϫ 15.3 ϫ sex Ϫ 10.67 (where sex ϭ 1 for men and sex ϭ 0 for women), with R 2 ϭ 0.83. When these equations were applied to the validation sample, the difference between measured and predicted %BF ranged between Ϯ9%, and the positive predictive values were above 0.9. Discussion: These results suggest that simple, noninvasive, and inexpensive anthropometric variables may provide an accurate estimate of %BF and could potentially aid the diagnosis of obesity in rural Thais.

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