Objective:To study the effects of group B streptococcus (GBS) colonization during late pregnancy on vaginal microbiota and neonatal outcomes.Methods:From September 2020 to September 2021, pregnant women receiving prenatal care and delivered in our hospital were prospectively enrolled. They were assigned into GBS(+) group and GBS(-) group based on the results of GBS culture and/or PCR tests of vaginal secretions. The mothers were also assigned into early-onset infection(EO) group and non-early-onset infection(non-EO) group based on the presence or absence of early-onset infection of their neonates. The vaginal microbiota and neonatal outcomes were compared between these groups.Results:A total of 125 cases were enrolled, including 65(52.0%) in GBS(+) group and 60(48.0%) in GBS(-) group. 24 cases (19.2%) were in EO group and 101 cases (80.8%) in non-EO group. The incidences of premature rupture of membranes (PROM), amniotic fluid contamination, chorioamnionitis and early-onset neonatal infection in GBS(+) group were significantly higher than GBS(-) group(all P<0.05).The abundances of Streptococcus and Ureaplasma in vaginal flora of GBS(+) group were higher than GBS(-) group ( P<0.01), whereas Rhodococcus, Phyllobacterium and Bifidobacterium were lower than GBS(-) group ( P<0.05).The EO group had significantly higher abundance of enterococcus than the non-EO group ( P<0.05). Mothers with GBS colonization and neonates with early-onset infection had the highest abundance of Escherichia/Shigella ( P=0.04). Mothers with GBS colonization and neonates without early-onset infection showed the highest abundance of Gardnerella ( P=0.04). Conclusions:GBS colonization during late pregnancy increases the incidences of PROM, amniotic fluid contamination, chorioamnionitis and early-onset neonatal infection. GBS colonization causes abnormal vaginal flora in pregnant women. The increases of Ureaplasma, Streptococcus, Escherichia/Shigella and Enterococcus in vaginal microbiota maybe associated with early-onset neonatal infection.

Objective:To estimate the incidence and risk factors of acute kidney injury (AKI) in preterm infants, and provide basis for better evaluation and treatment of renal function in preterm infants.Methods:All the hospitalized premature infants who were admitted to three research centers (Department of Neonatology at Beijing Children′s Hospital; Department of Neonatology at Beijing Obstetrics and Gynecology Hospital; Department of Neonatology at Shunyi Maternal and Children′s Hospital of Beijing Children′s Hospital)from January 1, 2017 to June 30, 2019 and had more than two serum creatinine values or urine output were included.The incidence of AKI in preterm infants was calculated and the difference among different gestational weeks was compared.Preterm infants were divided into AKI and non-AKI groups according to AKI diagnostic criteria, and the clinical characteristics between two groups were compared, and the risk factors of AKI in preterm infants were analyzed.Results:A total of 763 premature infants were included in the analysis.Twenty two cases were diagnosed with AKI.The incidence of AKI in premature infants was 2.9%.The incidence of AKI was 33.3% (3/9), 3.7% (5/134), and 2.3% (14/620) in the 24-27 + 6 weeks, 28-31 + 6 weeks, and 32-36 + 6 weeks gestational age, respectively, and the difference was statistically significant ( χ2=31.010, P<0.001). Preterm infants in AKI group had a higher proportion of males(77.3% vs. 53.3%), lower gestational weeks[29(27, 33) weeks vs.31(29, 33)weeks], higher proportions of infants with diabetic mothers(40.9% vs.19.4%), lower Apgar scores at 1 and 5 minutes[8(7, 10) vs.9(8, 10), 9(9, 10) vs.10(9, 10), respectively], higher proportions of invasive and noninvasive respiratory support(45.5% vs.11.3%, 63.6% vs.19.2%, respectively), longer duration of invasive respiratory support[260(136, 742)h vs.72(18, 160)h], longer hospital stays[66(19, 88)d vs.42(26, 58)d], and higher rates of sepsis (27.3% vs. 6.5%), respiratory distress syndrome(40.9% vs. 11.6%), and patent ductus arteriosus that requiring ibuprofen or surgical closure(13.6% vs. 3.0%), diuretic(27.3% vs. 3.9%), and vasoactive drug use (22.7% vs. 3.6%) than those in non-AKI group, and the differences were statistically significant(all P<0.05). Multivariate regression analysis showed that sepsis was an independent risk factor for AKI in preterm infants ( P=0.039, OR=3.498, 95% CI 1.065-11.490) after adjustment of gestational age and birth weight. Conclusion:The incidence of AKI is relatively high in preterm infants with gestational age<28 weeks.Compared with preterm infants without AKI, preterm infants with AKI have smaller gestational weeks and longer hospital stay.Sepsis is an independent risk factor for AKI in preterm infants.

Objective To establish the HPLC method of assay for diphenhydramine hydrochloride in compound diphenhydramine cream. Method HPLC analysis was carried on ACE5C₁₈S/N-A66766 column (150 mm×4.6 mm, 5 µm) with the mobile phase of methanol-water-triethylamine (70:30:0.67, adjusting pH to 6.50 with phosphoric acid) at room temperature. The detection wavelength was set at 230 nm and the flow rate was 1.0 ml/min. The analyte was extracted from the cream and 20 μl of sample was injected. Results The calibration curve of diphenhydramine hydrochloride was linear in the range of 39.52-197.6 µg/ml (r=0.999 7). The average recovery of diphenhydramine hydrochloride was 100.5% (RSD=1.25%, n=9). The repeatability of the method was expressed using RSD with 0.78% (n=6). The results of assay were 101.3%, 99.83% and 99.62%. Conclusion The method is accurate, sensitive, selective and repeatable, which can be applied for improving the quality standard of compound diphenhydramine cream.

Objective To investigate the disease characteristics and key factors of pharmaceutical care in patients with diabetes and osteoporosis, and provide references for clinical rational and effective medication. Methods Clinical pharmacist participated in the drug analysis of a patient with type 2 diabetes and osteoporosis. The pharmaceutical recommendations were proposed to assist physicians in optimizing the treatment plan, combined with the patient’s disease characteristics and pathological characteristics. Results After the reorganization of the treatment plan and pharmaceutical care, the patient's treatment effect had been significantly improved. Conclusion The pathogenesis of diabetic osteoporosis is complex. The current treatment is based on hypoglycemic combined with anti-osteoporosis drugs. Through chronic disease drug management and pharmaceutical monitoring, rational drug use could be promoted.