Immunogenicity Risk Review regarding Multispecific Therapeutics

In disaster response, due to the complexity of disaster medical capacity amplification, it is important to select the appropriate medical capacity strategy accurately according to the actual disaster situation. Copyright © 2020 Weifeng Shen et al.Background The use of lights and siren transport (LST) has been a matter of debate because of the short time savings and well-established increased risks for Emergency Medical Services (EMS) and bystanders. Time-critical hospital intervention (TCHI) denotes urgently needed procedures that cannot be performed properly in an out-of-hospital setting. Since 2013, rapid transportation from the field, fast-track, is currently used for patients with acute ST-elevation myocardial infarction, suspicion of acute stroke and out-of-hospital cardiac arrest. The aim of this study was to determine whether the use of LST was associated with the realization of TCHI for nontrauma cases within 15 minutes of hospital arrival, to quantify overtriage (LST without TCHI) and to identify the predictors of TCHI. Methods This is a monocentric prospective observational study of nontrauma patients transported by ambulance. Based on Ross et al.'s work in 2016 on trauma patients, TCHI procedures were developed by the study team. Descriptive statistics were used to determine whether the use of LST was associated with the realization of TCHI. Multivariable analyses determined the predictors of TCHI and compared clinical outcomes. Results On the 324 patients included, 67 (20.7%) benefitted from LST, with 40 (59.7%) receiving TCHI (p less then 0.001). The overtriage rate was 40.3%. The most common medical TCHI was the fast-track (65.2% of all TCHI). LST was predictive of the need for TCHI (p less then 0.001), as was the clinical condition of the patient and also when EMS providers expected TCHI. Conclusions A majority of the LST benefitted from TCHI with an overtriage rate of 40%. To reduce the rate of overtriage (LST without TCHI), LST should mainly be used for fast-track and when TCHI is expected by the EMS providers. Copyright © 2020 Olivier Bertholet et al.Background Emergency physicians (EPs) face critical admission decisions, and their judgments are questioned in some developing systems. This study aims to define the factors affecting mortality in patients admitted to the hospital by EPs against in-service departments' decision and evaluate EPs' admission diagnosis with final discharge diagnosis. Methods This is a retrospective analysis of prospectively collected data of ten consecutive years (2008-2017) of an emergency department of a university medical center. Adult patients (≥18 years-old) who were admitted to the hospital by EPs against in-service departments' decision were enrolled in the study. Significant factors affecting mortality were defined by the backward logistic regression model. Results 369 consecutive patients were studied, and 195 (52.8%) were males. The mean (SD) age was 65.5 (17.3) years. The logistic regression model showed that significant factors affecting mortality were intubation (p less then 0.0001), low systolic blood pressure (p = 0.006), increased age (p = 0.013), and having a comorbidity (p = 0.024). There was no significant difference between EPs' primary admission diagnosis and patient's final primary diagnosis at the time of disposition from the admitted departments (McNemar-Bowker test, p = 0.45). T-DM1 96% of the primary admission diagnoses of EPs were correct. Conclusions Intubation, low systolic blood pressure on presentation, increased age, and having a comorbidity increased the mortality. EPs admission diagnoses were highly correlated with the final diagnosis. EPs make difficult admission decisions with high accuracy, if needed. Copyright © 2020 Engin Ozakin et al.Methods A community-based cross-sectional study was employed among 686 mothers in Burie District from March 16 to March 25, 2017. A multistage sampling technique was used to select the study participants. Data were collected using face to face interviewer administered structured questionnaires. Then, the collected data was entered, coded, and cleaned into EPI Data version 3.1 and exported to SPSS version 20.0 for data analysis. Bivariate and multivariate logistic regression was done to assess the association of factors with postpartum modern contraceptive use. Adjusted odds ratios with 95% confidence intervals were calculated, and p values less then 0.05 were considered to indicate statistical significance. Result This study revealed that postpartum modern contraceptive use was found to be 20.7%. Postpartum modern contraceptive use was significantly associated with women's level of education (AOR = 0.15, 95% CI (0.03-0.71)), discussing FP methods with partner (AOR = 0.60, 95% CI (0.40-0.90)), knowing menses return after birth (AOR = 0.39, 95% CI (0.25-0.59)), ever heard about modern FP methods (AOR = 0.06, 95% CI (0.01-0.43)), and contacting health professionals (AOR = 1.85, 95% CI (1.19-2.88)). Conclusion and Recommendations. Postpartum modern contraceptive use was found to be low. Therefore, health professionals should work on improvements in women's educational status, making awareness of the women and counseling of their husbands about the use of postpartum contraception, when fertility returned and risky timing for becoming pregnant. Copyright © 2020 Wassachew Ashebir and Tilahun Tadesse.Background One of the major aims of marriage is to procreate or give birth to a child. Childbirth is so crucial in marriage that it often determines the happiness of the couple. Too much delay in childbirth after marriage or the likelihood that one cannot give birth after marriage can lead to divorce. However, causes of delay in childbirth are often difficult to detect by both the Gynaecologist and the couple involved. This makes proposing solutions to issues related to childbirth usually unsuccessful. Methods It is against this background that we conducted this study to identify factors that determine childbirth within 10 months or after 10 months of marriage (birth length) among women in Ghana. This was achieved by using a logistic regression model for the dichotomous birth length variable, adjusting for risk factors/predictors of birth length. The data used for the study were obtained from the 2014 Ghana Demographic and Health Survey, consisting 6,525 complete cases with 18 predictor variables. Statistical analyses were carried out using STATA version 14.