The Effect of Intrapartum Vancomycin on Vaginal Group B Streptococcus Colony Counts

2018 ◽  
Vol 36 (06) ◽  
pp. 555-560 ◽  
Author(s):  
Maureen Hamel ◽  
Phinnara Has ◽  
Ilina Datkhaeva ◽  
Kimberly Delacy ◽  
Dana Ciolfi ◽  
...  

Objective To define the temporal relationship between intrapartum intravenous vancomycin administration and vaginal group B streptococcus (GBS) colony counts. Study Design Prospective cohort study conducted from October 2014 to February 2017. Women with antenatal cultures demonstrating GBS colonization and a plan for vancomycin administration were eligible. Intrapartum vaginal cultures were collected prior to the first vancomycin infusion and every 2 hours up to five collections or delivery. Results were analyzed in two groups: participants with at least one positive intrapartum culture and those without any positive intrapartum cultures. Results A total of 63 women were enrolled. Among consented women, a total of 8 were excluded and 3 participants' cultures were never plated, thus leaving a total of 52 women for analysis. The degree of vaginal GBS colonization varied between subjects and was not normally distributed. Colony counts dropped rapidly from hour 0 to hour 2 (median: 6.0 × 108 vs. 1.0 × 108, p < 0.01). Standardizing hour 0 colony counts to 100%, the percent decline in colony counts from hour 0 to hour 2 was significant (p = 0.03), and at each subsequent time point fell further. Conclusion GBS vaginal colony counts fall rapidly after intrapartum vancomycin administration.

2008 ◽  
Vol 10 (3) ◽  
pp. 275-285 ◽  
Author(s):  
Elizabeth-Ann Schroeder ◽  
◽  
Stavros Petrou ◽  
Gail Balfour ◽  
Oya Edamma ◽  
...  

2015 ◽  
Vol 07 (04) ◽  
pp. 145-149
Author(s):  
Camila Silva ◽  
Tatiane Rodrigues ◽  
Helenilce Costa ◽  
Sandra Baltieri ◽  
Elisa Kusano ◽  
...  

2018 ◽  
Vol 38 (10) ◽  
pp. 1309-1317 ◽  
Author(s):  
Zhiyao Chen ◽  
Chuan’an Wu ◽  
Xuelian Cao ◽  
Guoming Wen ◽  
Dan Guo ◽  
...  

BMJ Open ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. e053624
Author(s):  
Daniel Smith ◽  
Kathryn Willan ◽  
Stephanie L Prady ◽  
Josie Dickerson ◽  
Gillian Santorelli ◽  
...  

ObjectivesWe aimed to examine agreement between common mental disorders (CMDs) from primary care records and repeated CMD questionnaire data from ALSPAC (the Avon Longitudinal Study of Parents and Children) over adolescence and young adulthood, explore factors affecting CMD identification in primary care records, and construct models predicting ALSPAC-derived CMDs using only primary care data.Design and settingProspective cohort study (ALSPAC) in Southwest England with linkage to electronic primary care records.ParticipantsPrimary care records were extracted for 11 807 participants (80% of 14 731 eligible). Between 31% (3633; age 15/16) and 11% (1298; age 21/22) of participants had both primary care and ALSPAC CMD data.Outcome measuresALSPAC outcome measures were diagnoses of suspected depression and/or CMDs. Primary care outcome measure were Read codes for diagnosis, symptoms and treatment of depression/CMDs. For each time point, sensitivities and specificities for primary care CMD diagnoses were calculated for predicting ALSPAC-derived measures of CMDs, and the factors associated with identification of primary care-based CMDs in those with suspected ALSPAC-derived CMDs explored. Lasso (least absolute selection and shrinkage operator) models were used at each time point to predict ALSPAC-derived CMDs using only primary care data, with internal validation by randomly splitting data into 60% training and 40% validation samples.ResultsSensitivities for primary care diagnoses were low for CMDs (range: 3.5%–19.1%) and depression (range: 1.6%–34.0%), while specificities were high (nearly all >95%). The strongest predictors of identification in the primary care data for those with ALSPAC-derived CMDs were symptom severity indices. The lasso models had relatively low prediction rates, especially in the validation sample (deviance ratio range: −1.3 to 12.6%), but improved with age.ConclusionsPrimary care data underestimate CMDs compared to population-based studies. Improving general practitioner identification, and using free-text or secondary care data, is needed to improve the accuracy of models using clinical data.


BMJ Open ◽  
2018 ◽  
Vol 8 (7) ◽  
pp. e022428 ◽  
Author(s):  
Anu Realo ◽  
Henriët van Middendorp ◽  
Liisi Kööts-Ausmees ◽  
Jüri Allik ◽  
Andrea W M Evers

ObjectiveTo examine the role of the Five Factor Model (FFM) personality traits in reporting the development of adverse drug reactions (ADRs) when controlling for sociodemographic variables and health status.DesignProspective cohort study.SettingThe Estonian Biobank of the Estonian Genome Centre, University of Tartu.Participants814 women and 543 men (mean age=47.9 years;SD=15.2) who after the initial enrolment in the Estonian Biobank were re-contacted for follow-up purposes about 5.3 years after the enrolment and for whom both self- and informant-reported personality data were available.Main outcome measureParticipants who did not report having any ADRs at baseline but who reported ADRs at the follow-up about 5.3 years later versus participants who did not report any ADRs at either time point. The reports of developing ADRs were predicted from the FFM personality traits after statistically controlling for sociodemographic variables (age, gender and education), baseline indicators of health status (number of diagnoses and medicines taken, body mass index and blood pressure), and the change in health status between the two measurements.ResultsThe results of a hierarchical binary logistic regression analysis showed that participants who reported the development of ADRs between the two measurements had higher levels of conscientiousness, were more likely to be women, were taking more medicines at baseline and had a higher increase in the number of medicines taken during the study period than participants who did not report any ADRs at either time point (all p values <0.05). Higher neuroticism (p=0.067) and a higher number of diagnosed diseases at baseline (p=0.053) also made marginal contributions to predicting the development of ADRs.ConclusionsThis study shows for the first time that higher levels of conscientiousness and neuroticism are associated with reporting the development of ADRs.


2013 ◽  
Vol 163 (4) ◽  
pp. 1099-1104.e1 ◽  
Author(s):  
Alberto Berardi ◽  
Cecilia Rossi ◽  
Roberta Creti ◽  
Mariachiara China ◽  
Giovanni Gherardi ◽  
...  

2009 ◽  
Vol 25 (4) ◽  
pp. 365-374 ◽  
Author(s):  
Stephanie S. Leone ◽  
Marcus J. H. Huibers ◽  
J. André Knottnerus ◽  
IJmert Kant

2017 ◽  
Vol 66 (4) ◽  
pp. 454-460 ◽  
Author(s):  
Mar Olga Pérez-Moreno ◽  
Ester Picó-Plana ◽  
Jesús Grande-Armas ◽  
Mª José Centelles-Serrano ◽  
Mercé Arasa-Subero ◽  
...  

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