1.Prenatal diagnosis of Joubert syndrome caused by de novo mutations of CPLANE1 gene
Junxia WANG ; Juan LI ; Runxuan DU ; Lu YIN ; Limin RONG ; Haishen TIAN ; Jian GAO
Chinese Journal of Perinatal Medicine 2021;24(12):930-932
We report a case of fetal cerebellar vermis dysplasia diagnosed prenatally by ultrasonography. Ultrasonography of the 27-year-old woman at 20 +6 gestational weeks revealed partial separation of the cerebellar vermis (Dandy-Walker variants), unclosable upper and lower lips, and polydactyly, based on which a preliminary diagnosis of multiple fetal malformations was made. Karyotype and chromosomal microarray (CMA) analysis of the amniotic fluid showed no abnormality. After genetic counseling, amniocentesis was performed again for a whole-exome sequencing test. The results suggested that there are compound heterozygous variations of c.3435G>A(P.W1145X) and c.2941C>G(p. p981A) in the exon 19 and exon 17 of the CPLANE1 gene, which were both de novo mutations and inherited from the father and mother, respectively. The fetus was diagnosed as Joubert syndrome. Given the facial and limb deformities and a significant risk of neurological abnormalities of the fetus, the patient and her family decided to terminate the pregnancy.
2.Application of Healthcare Failure Mode and Effect Analysis in the Management of Protocol Deviations in Clinical Trial
Bo QIU ; Haotian YANG ; Runxuan DU ; Haojing SONG ; Xue SUN ; Congyang DING ; Wanjun BAI ; Zhanjun DONG
Herald of Medicine 2024;43(10):1645-1650
Objective To standardize the management of clinical trials in our hospital,reduce the incidence of protocol deviations,and provide a reference for improving the quality of clinical trials.Methods The healthcare failure mode and effect analysis(HFMEA)method was used to determine the potential failure modes of the current protocol deviation.The frequency,severity and detectability of failure modes were quantified and evaluated.The risk priority number(RPN)was calculated and the corresponding improvement measures were proposed.The RPN values before and after the implementation of HFMEA were statistically analyzed to evaluate the improvement effect.Results After the implementation of HFMEA activities,the RPN values of 14 potential failure modes decreased significantly(P<0.05);The risk level of 12 potential failure modes decreased.The HFMEA team members'ability in finding and solving problems,communication and cooperation were significantly improved.Conclusions The implementation of HFMEA activities contributes to the management of protocol deviation in clinical trials,can effectively reduce the occurrence of protocol deviation,and provides experience for improving the quality of drug clinical trials.