1.Investigation into the effect of infant sleep patterns on the maternal sleep quality
Shuhan YAN ; Jing CHEN ; Hua WU ; Chunrong KANG ; Feng ZHANG
Chinese Journal of Practical Nursing 2021;37(5):321-325
Objective:To explore the effects of infant sleep patterns on maternal sleep quality.Methods:Three hundred and nineteen pairs of mothers and infants from two grade three class-a hospitals in Nantong City were enrolled. Infant sleep patterns were assessed by the Brief Infant Sleep Questionnaire (BISQ). Maternal sleep quality was evaluated using the Pittsburgh sleep quality index (PSQI). The effect of infant sleep patterns on maternal sleep quality was analyzed by one-way ANOVA followed with multivariate analysis.Results:The maternal sleep quality scored 7.08±2.60. Single factor analysis pointed out that the sleep quality of women whose infants slept in bed near parents, woke up more than 3 times a night, was nocturnal wakefulness more than 60 minutes or nocturnal sleep duration less than 8 hours was significantly worse. After controlling for confounding variables, the way of baby falling asleep, numbers of night wakings, nocturnal sleep duration, maternal age, infant′s gender and primary caregiver were independent factors of maternal sleep quality.Conclusion:Infant sleep pattern is an important factor affecting maternal sleep quality. Nurses should provide information about the sleep patterns of infants to mothers and their family members to promote their babies′ sleep habits so as to improve the maternal sleep quality.
2.Detection of bone marrow involved by nonhematopoietic neoplasms using flow cytometry
Hui WANG ; Xin YU ; Jirun PENG ; Chunrong TONG ; Ping WU ; Yanyan LI ; Rui KANG ; Huipeng SUN
Chinese Journal of Laboratory Medicine 2011;34(2):141-146
Objective To study the value of flow cytometry in identifying metastatic CK positive and negative nonhematopoietic neoplasms in bone marrow. Methods Twenty-six cell lines representing ten epithelial neoplasms, one lymphoma cell line and one human T cell lymphoblast-like cell line were purchased from American Tissue Culture Collection. From July 2009 to June 2010, five nonhematopoietic neoplasms,fifteen hematopoietic neoplasms and fifteen control patients with complete remession after hematopoietic stem cell transplantation were collected in Beijing Daopei Hospital. Cryopreserved cell lines were thawed and cultured until they entered log phase. After permeabilization, cell lines were analyzed by staining with cytoplasmic CK-FITC antibody using four-color flow cytometer. The percent CK positivity was measured by comparing with negative control. Bone marrow samples were stained with membrane and cytoplasmic antibodies according to our routine methods. Based on lineage markers and blast markers as well as CK expression, the relevant hematopoietic diseases were diagnosed or excluded according to 2008 World Health Organization diagnosis standards. Results All epithelial neoplasm cell lines expressed CK, with average positive percentage 81.1%. All the lymphoid tumor cell lines didn't express CK. Two epithelial neoplasms were CK positive, 100. 0% in thyroid carcinoma and 98. 2% in lung carcinoma, respectively. Hematopoietic tumor and control samples didn't express CK. They expressed relevant hematopoietic markers, such as CD45 as well as lineage markers, or CD138 and cytoplasmic immunoglobulin light chain. Three nonepithelial nonhematopoietic neoplasms didn't express CK. CK positive or negative nonhematopoietic neoplasms didn't express hematopoietic markers such as CD45, HLA-ABC and HLA-DR DP DQ, as well as lineage specific markers. Besides, CK positive might be helpful to suggest epithelial origin. Conclusion Flow cytometry with hematopoietic markers and CK can effectively exclude hematopoietic tumor and identify metastatic CK positive and negative nonhematopoietic neoplasms in bone marrow.
3.Identification and homology analysis of Ochrobactrum-like species infection in bloodstream of children
Jianlong LIU ; Pinghua QU ; Tingting CAI ; Liya MO ; Chunrong SONG ; Yan KANG ; Xianbin LI
Chinese Journal of Clinical Laboratory Science 2017;35(4):277-280
Objective To identify and analyze the homology of Ochrobactrum isolated from clinical blood samples of children.Methods The 26 strains of Ochrobactrum anthropi were identified by Vitek 2 Compact and test strips of API 20 NE bacterial identification system.The biochemical phenotypes were identified by manual tests.The 16S rRNA and recA gene were amplified by PCR and sequenced.The drug sensitivity tests of Ochrobactrum anthropi were performed by Vitek 2 Compact and matched GN13 card.The homology was analyzed by pulsed field gel electrophoresis.Results Based on the identification of the instruments and the manual tests for biochemical phenotype,all the 26 experimental strains were Ochrobactrum anthropi.The results of sequencing for 16S rRNA and recA gene amplification products showed 25 strains were Pseudochrobactrum saccharolyticum and the other 1 was O.grignonensein.Drug sensitivity analysis showed that the all the 26 strains were resistant to aztreonam,but the sensitive rates to quinolones,aminoglycosides,trimethoprim sulfamethoxazole,four generation of cephalosporins and the antibiotics compound of piperacillin/tazobactam were all more than 80%.Pulsed field gel electrophoresis analysis showed that the 25 strains were highly homologous with differences of only 1 to 3 bands in fingerprint profiles.Conclusion Based on the biochemical phenotype and the sequencing of 16S rRNA and recA gene,the Ochrobactrum-like bacteria could be identified to the level of species.The highly homologous strains of Pseudochrobactrum saccharolyticum may be sourced from a clustered infection.