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BackgroundThe impact of chronic health conditions (CHC) on serostatus post-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccination is unknown. MethodsWe assessed serostatus post-SARS-CoV-2 vaccination among fully vaccinated adult residents of Jefferson County, Kentucky, USA from April 2021 through August 2021. Serostatus was determined by qualitative analysis of SARS-CoV-2 specific Spike IgG antibodies via enzyme-linked immunoassay (ELISA) in peripheral blood samples. ResultsOf the 5,178 fully vaccinated participants, 51 were seronegative and 5,127 were seropositive. Chronic kidney disease (CKD) and autoimmune disease showed highest association with negative serostatus in fully vaccinated individuals. The absence of any CHC was strongly associated with positive serostatus. The risk of negative serostatus increased as the total number of pre-existing CHCs increased. Similarly, use of 2 or more CHC related medications was associated with seronegative status. ConclusionsPresence of any CHC, especially CKD or autoimmune disease, increased the likelihood of seronegative status among individuals who were fully vaccinated to SAR-CoV-2. This risk increased with a concurrent increase in number of comorbidities, especially with multiple medications. Absence of any CHC was protective and increased the likelihood of a positive serological response. These results will help develop appropriate guidelines for booster doses and targeted vaccination programs.
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Dioxin-like molecules have been associated with endocrine disruption and liver disease. To better understand aryl hydrocarbon receptor (AHR) biology, metabolic phenotyping and liver proteomics were performed in mice following ligand-activation or whole-body genetic ablation of this receptor. Male wild type (WT) and
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An unprecedented outbreak of the novel coronavirus (COVID-19) in the form of peculiar pneumonia has spread globally since its first case in Wuhan province, China, in December 2019. Soon after, the infected cases and mortality increased rapidly. The future of the pandemics progress was uncertain, and thus, predicting it became crucial for public health researchers. These future predictions help the effective allocation of health care resources, stockpiling, and help in strategic planning for clinicians, government authorities, and public health policymakers after understanding the extent of the effect. The main objective of this paper is to develop a hybrid forecasting model that can generate real-time out-of-sample forecasts of COVID-19 outbreaks for five profoundly affected countries, namely the USA, Brazil, India, UK, and Canada. A novel hybrid approach based on the Theta method and Autoregressive neural network (ARNN) model, named Theta-ARNN (TARNN) model, is developed. Daily new cases of COVID-19 are nonlinear, non-stationary, and volatile; thus a single specific model cannot be ideal for future prediction of the pandemic. However, the newly introduced hybrid forecasting model with an acceptable prediction error rate can help healthcare and government for effective planning and resource allocation. The proposed method outperforms traditional univariate and hybrid forecasting models for the test data sets on an average.
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OBJECTIVE: To determine the effect of body mass index on postoperative complications and the performance of lymph node dissection in women undergoing laparoscopy or laparotomy for endometrial cancer. METHODS: Retrospective chart review of all patients undergoing surgery for endometrial cancer between 8/2004 and 12/2008. Complications graded and analyzed using Common Toxicity Criteria for Adverse Events ver. 4.03 classification. RESULTS: 168 women underwent surgery: laparoscopy n=65, laparotomy n=103. Overall median body mass index 36.2 (range, 18.1 to 72.7) with similar distributions for age, body mass index and performance of lymph node dissection between groups. Following laparoscopy vs. laparotomy the percent rate of overall complications 53.8:73.8 (p=0.01), grade > or =3 complications 9.2:34.0 (p or =3 wound complications 3.1:22.3 (p or =3 wound infection 3.1:20.4 (p=0.01) were significantly lower after laparoscopy. In a logistic model there was no effect of body mass index (> or =36 and<36) on complications after laparoscopy in contrast to laparotomy. Para-aortic lymph node dissection was performed by laparoscopy 19/65 (29%): by laparotomy 34/103 (33%) p=0.61 and pelvic lymph node dissection by laparoscopy 21/65 (32.3%): by laparotomy 46/103 (44.7%) p=0.11. Logistic regression analysis revealed that for patients undergoing laparoscopy for stage I disease there was an inverse relationship between the performance of both para-aortic lymph node dissection and pelvic lymph node dissection and increasing body mass index (p=0.03 and p<0.01 respectively) in contrast to the laparotomy group where there was a trend only (p=0.09 and 0.05). CONCLUSION: For patients undergoing laparoscopy, increasing body mass index did not impact postoperative complications but did influence the decision to perform lymph node dissection.
