We report the case of a 33-year-old primigravida who presented at 37 weeks of gestation with symptoms suggestive of acute fatty liver of pregnancy, but was later diagnosed with leptospirosis (i.e. Weil’s disease or syndrome) on serological testing. Cardiotocography showed fetal distress, and an emergency Caesarean section was performed. A healthy neonate with no evidence of congenital leptospirosis was delivered. The patient was treated with intravenous ceftriaxone and discharged well 13 days after admission. Herein, we discuss the patient’s clinical presentation and the cardiotocography changes observed in leptospiral infection, and review the current literature.
Adult ; Cardiotocography ; Ceftriaxone ; therapeutic use ; Cesarean Section ; Diagnosis, Differential ; Fatty Liver ; diagnosis ; Female ; Fetal Distress ; Humans ; Leptospira ; Leptospirosis ; diagnosis ; diagnostic imaging ; Pregnancy ; Pregnancy Complications, Infectious ; diagnosis ; diagnostic imaging ; Pregnancy Outcome ; Treatment Outcome ; Ultrasonography

Several studies about hospital malnutrition have been reported that about more than 40% of hospitalized patients are having nutritional risk factors and hospital malnutrition presents a high prevalence. People in a more severe nutritional status ended up with a longer length of hospital stay and higher hospital cost. Nutrition screening tools identify individuals who are malnourished or at risk of becoming malnourished and who may benefit from nutritional support. For the early detection and treatment of malnourished hospital patients, few valid screening instruments for Koreans exist. Therefore, the aim of this study was to develop a simple, reliable and valid malnutrition screening tool that could be used at hospital admission to identify adult patients at risk of malnutrition using medical electrical record data. Two hundred and one patients of the university affiliated medical center were assessed on nutritional status and classified as well nourished, moderately or severely malnourished by a Patient-Generated subjective global assessment (PG-SGA) being chosen as the 'gold standard' for defining malnutrition. The combination of nutrition screening questions with the highest sensitivity and specificity at prediction PG-SGA was termed the nutrition screening index (NSI). Odd ratio, and binary logistic regression were used to predict the best nutritional status predictors. Based on regression coefficient score, albumin less than 3.5 g/dl, body mass index (BMI) less than 18.5 kg/m2, total lymphocyte count less than 900 and age over 65 were determined as the best set of NSI. By using best nutritional predictors receiver operating characteristic curve with the area under the curve, sensitivity and 1-specificity were analyzed to determine the best optimal cut-off point to decide normal or abnormal in nutritional status. Therefore simple and beneficial NSI was developed for identifying patients with severe malnutrition. Using NSI, nutritional information of the severe malnutrition patient should be shared with physicians and they should be cared for by clinical dietitians to improve their nutritional status.
Adult ; Body Mass Index ; Hospital Costs ; Humans ; Length of Stay ; Logistic Models ; Lymphocyte Count ; Malnutrition ; Mass Screening* ; Nutritional Status ; Nutritional Support ; Nutritionists ; Prevalence ; Risk Factors ; ROC Curve ; Sensitivity and Specificity

Protein-calorie malnutrition is common in maintenance dialysis patients. Indeed, diabetic patients with chronic renal failure are considered to be at increased risk of malnutrition. The aim of this study was to compare the nutritional status and markers of inflammation of hemodialysis patients with and without type 2 diabetes. We compared nutritional parameters and C-reactive protein (CRP) as a marker of inflammation in 30 type 2 diabetic patients and age-matched 30 non-diabetic patients with hemodialysis. Serum albumin was significantly lower in patients with type 2 diabetes (3.45 +/- 0.43 g/dL) than in non-diabetic patients (3.64 +/- 0.36 g/dL) (p < 0.05). In contrast, the concentration of serum CRP was significantly higher in type 2 diabetes (1.42 +/- 1.8 mg/dL) (p < 0.05). There were significant negative-relationships between serum albumin and CRP level in both diabetic (r = -0.553, p < 0.01) and non-diabetic (r = -0.579, p < 0.01) patients. In diabetic patients, serum albumin level was significantly correlated with hemoglobin (r = 0.488, p < 0.01) and hematocrit (r = 0.386, p < 0.01). Diabetic patients as compared to non-diabetic patients showed a significant (p < 0.01) increased serum triglyceride (TG) (153.1 +/- 80.1 mg/dL vs 101.6 +/- 62.4 mg/dL) and decreased serum HDL cholesterol (36.89 +/- 13.48mg/dL vs 47.00 +/- 14.02 mg/dL, P < 0.05). There were significant correlations in the intake of calorie and serum albumin levels in both diabetic (r = 0.438, p < 0.05) and non-diabetic (r = 0.527, p < 0.05) patients. Serum CRP level was negatively correlated with calorie (r = -0.468, p < 0.05), protein (r = -0.520, p < 0.01) and fat intakes (r = -0.403, p < 0.05) in diabetic patients and calorie (r = -0.534, p < 0.05) and protein intakes (r = -0.559, p < 0.05) in non-diabetic patients. The prevalence of protein malnutrition and the risk factors of cardiovascular disease were significantly higher in type 2 diabetic patients than in non-diabetic hemodialysis patients. Thus, we can suggest that the higher comorbidity and mortality rate in diabetic hemodialysis patients are partially explained by malnutrition and inflammation.
C-Reactive Protein ; Cardiovascular Diseases ; Cholesterol, HDL ; Comorbidity ; Diabetes Mellitus ; Dialysis ; Hematocrit ; Humans ; Inflammation ; Kidney Failure, Chronic ; Malnutrition ; Mortality ; Nutritional Status* ; Prevalence ; Protein-Energy Malnutrition ; Renal Dialysis* ; Risk Factors ; Serum Albumin ; Triglycerides

Objective: To establish reference values for the computerized cognitive test and evaluate cognitive function improvements across different age groups, we introduce the computerized Cognitive Function Test program (eCFT), specifically designed for children. We aimed to establish eCFT reference values and assess cognitive function improvements across different age groups. Methods: We included children aged 3–6 years with confirmed normal cognition based on the Korean Developmental Screening Test for Infants and Children and Kaufman Assessment Battery for Children-II. The eCFT consists of 8 subtests for visual perception, attention, memory, and executive function. Results: A total of 66 participants (36 males and 30 females) with an average age of 4.4 years participated. The age 6 group consistently outperformed both age group 3 and 4 in terms of correct responses. With regard to the completed stage, the “selective auditory stimulus” test findings were 2.0 and 3.9 for the age 3 and age 6 groups, respectively (p<0.05). The “trail-making” test findings were 1.7, 2.1, 2.6, and 2.8, respectively (between ages 3 and 6, p<0.01; between ages 4 and 6, p<0.05); moreover, the age 5 group surpassed the age 3 group (2.6 and 1.7, respectively, p<0.05). Conclusion The eCFT is an easily accessible tool to evaluate cognitive function in young children. We introduce reference values with a cutoff range for preschool-aged children, enabling early intervention for those with cognitive impairment. Given its accessibility and relatively short evaluation time, the eCFT has potential for clinical use.

The mortality and morbidity rate of hemodialysis patients (HD) remain high. Among many factors, protein and calorie malnutrition has been shown to be a major risk factor for increased mortality in the HD patients population. Malnutrition can be caused by insufficient amino acid intake, nutrient losses in dialysate, oxidant stress and muscle catabolism. In this study, we evaluated the association of markers of nutritional status and essential amino acids intake in HD patients. We investigated nutritional status of 41 HD patients (mean age: 64.2 +/- 11.5 y, men: 24, women: 27) by measuring anthropometric, biochemical parameters and food intakes by using 24 hr recall methods. Subject's total energy intake and total protein intake were 1,648.0 +/- 397.31 kcal/day, 79.2 +/- 27.2 g/day, respectively. The animal protein intake was 42.7 +/- 22.1 g/day, essential amino acids intake was 23.4 +/- 9.92 g/day, and the ratio of essential amino acids to total protein intake was 29.6 +/- 5.42%. There were significantly positive correlation between muscle mass and lean body mass with serum creatinine level (r = 0.435, p < 0.01; r = 0.435, p < 0,01). There were also significant positive correlation in muscle mass and lean body mass with pre hemodialysis blood urea nitrogen (preHD BUN)(r = 0.329, p < 0.05; r = 0.329, p < 0.05). There were no significant correlation in total energy intake and total protein intake per kg ideal body weight (IBW) to muscle mass and lean body mass. However, there were significantly positive correlation between the ratio of essential amino acids and muscle mass and lean body mass (r = 0.368, p < 0.05; r = 0.405, p < 0.01). And serum hematocrit concentration was positively correlated with the ratio of essential amino acids (r = 0.032, p < 0.05). The results of this study indicate that strong associations exist in essential amino acid intakes with malnutrition than total protein intakes in HD patient. In conclusion, specialized nutrition education should be necessary to efficiently improve the quality of protein intakes.
Amino Acids, Essential* ; Animals ; Blood Urea Nitrogen ; Creatinine ; Education ; Energy Intake ; Female ; Hematocrit ; Humans ; Ideal Body Weight ; Male ; Malnutrition ; Metabolism ; Mortality ; Nutritional Status* ; Renal Dialysis* ; Risk Factors