Parental detection of neonatal jaundice using a low-cost colour card: a multicentre prospective study.

BACKGROUND: Since most infants are usually discharged before age 48-72 hours, peak bilirubin levels will almost always occur after discharge. Parents may be the first to observe the onset of jaundice after discharge, but visual assessment is unreliable. The jaundice colour card (JCard) is a low-cost icterometer designed for the assessment of neonatal jaundice. The objective of this study was to evaluate parental use of JCard to detect jaundice in neonates. METHODS: We conducted a multicentre, prospective, observational cohort study in nine sites across China. A total of 1161 newborns ≥35 weeks of gestation were enrolled in the study. Measurements of total serum bilirubin (TSB) levels were based on clinical indications. The JCard measurements by parents and paediatricians were compared with the TSB. RESULTS: JCard values of parents and paediatricians were correlated with TSB (r=0.754 and 0.788, respectively). The parents' and paediatricians' JCard values 9 had sensitivities of 95.2% vs 97.6% and specificities of 84.5% vs 71.7% for identifying neonates with TSB ≥153.9 µmol/L. The parents' and paediatricians' JCard values 15 had sensitivities of 79.9% vs 89.0% and specificities of 66.7% vs 64.9% for identifying neonates with TSB ≥256.5 µmol/L. Areas under the receiver operating characteristic curves of parents for identifying TSB ≥119.7, ≥153.9, ≥205.2, and ≥256.5 µmol/L were 0.967, 0.960, 0.915, and 0.813, respectively, and those of paediatricians were 0.966, 0.961, 0.926 and 0.840, respectively. The intraclass correlation coefficient was 0.933 between parents and paediatricians. CONCLUSION: The JCard can be used to classify different levels of bilirubin, but it is less accurate with high bilirubin levels. The JCard diagnostic performance of parents was slightly lower than that of paediatricians.

High-precision early warning system for rice cadmium accumulation risk assessment.

Rapid global industrialization has resulted in widespread cadmium contamination in agricultural soils and products. A considerable proportion of rice consumers are exposed to Cd levels above the provisional safe intake limit, raising widespread environmental concerns on risk management. Therefore, a generalized approach is urgently needed to enable correct evaluation and early warning of cadmium contaminants in rice products. Combining big data and computer science together, this study developed a system named "SMART Cd Early Warning", which integrated 4 modules including genotype-to-phenotype (G2P) modelling, high-throughput sequencing, G2P prediction and rice Cd contamination risk assessment, for rice cadmium accumulation early warning. This system can rapidly assess the risk of rice cadmium accumulation by genotyping leaves at seeding stage. The parameters including statistical methods, population size, training population-testing population ratio, SNP density were assessed to ensure G2P model exhibited superior performance in terms of prediction precision (up to 0.76 ± 0.003) and computing efficiency (within 2 h). In field trials of cadmium-contaminated farmlands in Wenling and Fuyang city, Zhejiang Province, "SMART Cd Early Warning" exhibited superior capability for identification risk rice varieties, suggesting a potential of "SMART Cd Early-Warning system" in OsGCd risk assessment and early warning in the age of smart.

Assessment of heavy metals pollution of soybean grains in North Anhui of China.

Heavy metals may cause deleterious effects on human health through consumption of contaminated food crops. To assess the safety of soybean consumption, concentrations of heavy metals (Cu, Zn, Cr, Ni, Cd, As, Pb and Hg) in soybean grains sampled from the farmland in North Anhui (suitable for high-protein soybeans planting) were analyzed. The results showed that the concentrations of Ni, Cr, Cu and Pb in soybean gains exceeded the Chinese safety limits, with over-standard rate of 92.59%, 74.07%, 37.04% and 9.88% respectively. Spatial distribution of soybean pollution analysis showed that soybeans were severe polluted by Ni and concentrated in the west of North Anhui. SR-µXRF elemental maps of soybean gains indicated Cu, Cr, Ni, Pb and Hg specifically enriched at the embryo. In relation to health risks, there were no obvious non-carcinogenic risk and carcinogenic risk (CR) through ingesting soybeans from North Anhui. But it can induce a threat to people's health if the consumption of soybean exceeds the routine dose.