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TEG®-based analysis of coagulation profiles offers unique insights. Compared to laboratory normal values (R time, angle, maximal amplitude, and G values), patients with morbid obesity may have a tendency for hypercoagulability/hyperaggregability, with mean values at the higher limit. A significant hypercoagulable difference in TEG® values was identified in female as compared to male patients. Male patients with a BMI greater than 50 kg/m
were also found to be increasingly hypercoagulable.
TEG®-based analysis of coagulation profiles offers unique insights. learn more Compared to laboratory normal values (R time, angle, maximal amplitude, and G values), patients with morbid obesity may have a tendency for hypercoagulability/hyperaggregability, with mean values at the higher limit. A significant hypercoagulable difference in TEG® values was identified in female as compared to male patients. Male patients with a BMI greater than 50 kg/m2 were also found to be increasingly hypercoagulable.Individuals with acquired brain injury (ABI) commonly present with impairments in cognitive abilities. As these competencies seem to be predictive of patients' abilities to reintegrate into the everyday settings, it is crucial to assess them properly. However, previous research has indicated that patients may perform relatively well on standard tests of cognitive functioning, but may nonetheless encounter significant difficulties in organizing and executing everyday tasks. In order to overcome this issue, virtual reality (VR) methods have been introduced in clinical practice with the aim of creating assessments that simulate real-world activities and thus, provide a clearer picture of patients' functioning in everyday settings. This review offers an overview of VR assessment tools described in the scientific literature between 2010 and 2019. Overall, 38 relevant records describing 31 different tools were found. Among these tools, 16 assessed executive functions and prospective memory, while the other 15 assessed visuo-spatial abilities. Although promising results have been reported, our analysis indicated that about half of the tools deliver tasks that differ from everyday activities, thus limiting the generalizability of patients' performance to the real-world. Moreover, a variety of methodological shortfalls related to study Internal and External Validity have been highlighted, which hamper the possibility of drawing definite recommendations on tool choice. These limitations suggest the importance of putting considerable efforts into the improvement or development of VR tools for patients with ABI for both research and clinical purposes, considering the great potential of this form of assessment.
Prepregnancy body mass index (BMI) and gestational weight gain (GWG) are known determinants of maternal and child health; calculating both requires an accurate measure of prepregnancy weight. We compared self-reported prepregnancy weight to measured weights to assess reporting bias by maternal and clinical characteristics.
We conducted a retrospective cohort study among pregnant women using electronic health records (EHR) data from Kaiser Permanente Northwest, a non-profit integrated health care system in Oregon and southwest Washington State. We identified women age ≥ 18years who were pregnant between 2000 and 2010 with self-reported prepregnancy weight, ≥ 2 measured weights between ≤ 365-days-prior-to and ≤ 42-days-after conception, and measured height in their EHR. We compared absolute and relative difference between self-reported weight and two "gold-standards" (1) weight measured closest to conception, and (2) usual weight (mean of weights measured 6-months-prior-to and ≤ 42-days-after conception). Gweight can inform understanding of bias when assessing the influence of prepregnancy BMI or GWG on health outcomes.
To identify the prevalence of women Veterans reporting receipt of counseling about health optimization prior to pregnancy, topics most frequently discussed, and factors associated with receipt of this care.
We analyzed data from a nationally representative, cross-sectional telephone survey of women Veterans (n = 2302) ages 18-45 who used VA for primary care in the previous year. Our sample included women who were (1) currently pregnant or trying to become pregnant, (2) not currently trying but planning for pregnancy in the future, or (3) unsure of pregnancy intention. Multivariable logistic regression was used to examine adjusted associations of patient- and provider-level factors with receipt of any counseling about health optimization prior to pregnancy (prepregnancy counseling) and with counseling on specific topics.
Among 512 women who were considering or unsure about pregnancy, fewer than half (49%) reported receiving any prepregnancy counseling from a VA provider in the past year. For those who did, the most frequently discussed topics included healthy weight (29%), medication safety (27%), smoking (27%), and folic acid use before pregnancy (27%). Factors positively associated with receipt of prepregnancy counseling include history of mental health conditions (aOR = 1.96, 95% CI 1.28, 3.00) and receipt of primary care within a dedicated women's health clinic (aOR = 2.07, 95% CI 1.35, 3.18), whereas factors negatively associated include far-future and unsure pregnancy intentions (aOR = 0.35, 95% CI 0.17, 0.71 and aOR = 0.33, 95% CI 0.16, 0.70, respectively).
Routine assessment of pregnancy preferences in primary care could identify individuals to whom counseling about health optimization prior to pregnancy can be offered to promote patient-centered family planning care.
Routine assessment of pregnancy preferences in primary care could identify individuals to whom counseling about health optimization prior to pregnancy can be offered to promote patient-centered family planning care.
Pregnancy and postpartum periods require continuity in care and counseling. During the pandemic process, telemedicine and telenursing applications have been used to meet the need for healthcare throughout the world, and skills in this area have been developed. This study aimed to identify the use of mobile applications by pregnant women in receiving health information, counseling, and healthcare during the COVID-19 pandemic and their distress levels during pregnancy.
This research was a descriptive cross-sectional study. The study was designed as an online survey administered between August 2020 and November 2020 via a questionnaire and the Tilburg Pregnancy Distress Scale (TPDS). A total of 376 women agreed to participate in the study. Women were included if they were literate, had a gestational age of ≥ 12th weeks, and accommodated within the Republic of Turkey's boundaries.
A total of 77.9% of participants reported using pregnancy-related mobile applications during the pandemic. The mean total Tilburg Pregnancy Distress Scale score was 24.