Small Bowel Obstruction after Abdominal Myomectomy Involving Barbed Suture: A Case Report and Preventive Measures for Risk Reduction
Published on: 11th March, 2024
In this report, we describe a case of a small bowel obstruction in the immediate postoperative period following an abdominal myomectomy. After failing conservative management, the patient underwent diagnostic laparoscopy, and the exposed tail of an absorbable barbed V-loc™ (Covidien™, Mansfield, MA, USA) suture used during the myomectomy was identified as the nidus of the small bowel obstruction. While barbed-suture-related bowel obstruction is a known rare complication that is well described in the general surgery literature, it is less documented in gynecological surgery literature. We anticipate the risk to be higher after multiple myomectomy, as postoperative contracture of the uterus can cause protrusion and exposure of the barbed suture tail. Though barbed suture can be safely used for hysterotomy closure during myomectomy, surgeons who opt to use barbed suture during myomectomy should be aware of this potential complication, take intra-operative measures to reduce the risk of postoperative tail protrusion and maintain a high index of suspicion for bowel obstruction in the immediate postoperative period.
Statistical Mathematical Analysis of COVID-19 at World Level
Published on: 5th April, 2024
Worldwide, statistical data of people infected by COVID-19 has been taken until March 29, 2023, which, when correlated, showed a predictive logistic model. The purpose was to determine the predictive model, which was acceptable, in such a way that the proportionality constant and the correlation and determination coefficients are of great importance to estimating epidemiological and pandemic data; coinciding with what was reported by other authors. Bearing in mind that a mathematical model is a mathematical description through a function or equation of a phenomenon in the real world; whose purpose is to understand infections and make predictions for the future. The stages were: to model the number of people infected as a function of time, formulate, and choose the logistic model, determine the model and obtain mathematical conclusions, and make predictions (estimates) about the number of people infected by COVID-19 worldwide. The logistic model was derived to predict the speed of people infected by COVID-19 and the critical time (tc = 733 days) for which the speed was maximum (1694,7209 infected/day). The Pearson correlation coefficient for the time elapsed (t) and the number of people infected (N) worldwide, based on 32 cases, was r = -0.88; the relationship between time and those infected is real, there is a “very strong correlation” between the time elapsed (t) and the number of people infected (N) and 77.03% of the variance in N is explained by t.
COVID-19 Pneumonia in Pregnancy: A Retrospective Study on Maternal and Neonatal Outcomes
Published on: 8th April, 2024
Objective: To identify risk factors among pregnant with COVID-19 for adverse outcomes related to disease severity, maternal mortality, and morbidity.Materials and methods: In this retrospective study, 45 pregnant patients with COVID-19 pneumonia were confirmed by RT-PCR. The inclusion criteria were pregnant patients diagnosed with COVID-19 confirmed by RT-PCR and hospitalized in the gynecology-obstetrics and intensive care unit. Exclusion criteria were non-pregnant patients and pneumonia cases with unconfirmed COVID-19 causes. The study used SPSS software to analyze the data. Results: Our study recorded 45 cases of SARS-CoV-2 infection in pregnant women over 2.5 years. The age group most affected was 20-35 years, with 75% of cases. 57% of patients had no known comorbidities. 88.8% of patients were symptomatic at diagnosis. Almost 30% of patients required admission to the ICU, with 60% requiring oxygen supplementation. The study recorded 36 live births (80%), of which 26 cases (72.2%) required no further care and had a favorable outcome.Conclusion: Pregnant women with medical conditions are at higher risk of severe COVID-19, which can cause respiratory distress syndrome and impact delivery and neonatal outcomes. Preventive measures are important.
Alcohol and Substance Abuse in the General Population during the COVID-19 Pandemic: Results of the COMET-G International Study
Published on: 15th April, 2024
The global impact of the COVID-19 pandemic on mental health and substance use behaviors has sparked extensive research efforts. The COMET-G international study, organized by the Department of Medicine and the Rectorate of the Aristotle University of Thessaloniki in collaboration with the World Psychiatric Association, delved into these issues. Running from March 2020 to April 2021, the study collected responses from 55,589 individuals across 40 countries. Through a comprehensive questionnaire, participants provided insights into their mental state, attitudes toward the pandemic, and the resultant changes in their personal and daily lives. Findings revealed, among other things, significant patterns of change in substance use, with notable correlations between reduced usage and the severity of lockdown measures among non-binary individuals. Mental health history emerged as a strong predictor of substance use changes, with influences from anxiety disorders, depression, and self-harm. Additionally, family and social dynamics, including economic expectations and household composition, significantly shaped substance use behaviors during lockdowns. Given these findings, the development of comprehensive approaches targeting the adverse effects of the pandemic on individual behaviors and general welfare is crucial.
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