ABSTRACT
INTRODUCTION: This case study speaks about a 32 years infertile woman who visited WARDHA TEST TUBE BABY CENTRE with her husband (37years) for her treatment associated with infertility. In early 2018 they initiated their IVF/ARTrelated proceedings. The couple was recommended for IVF/ART procedure;as a result, four frozen embryo transfers were done. After the third frozen embryo transfer, the pregnancy happened, and a male baby was delivered who died on the Day3 of his life. As a repercussion fourth frozen embryo transfer happened, and pregnancy occurred, but on the 32nd week of the pregnancy, the female got infected with COVID-19, yet she delivered a male baby after pregnancy which didn't survive. These two deaths of their babies caused tremendous psychological trauma to the couple and can cause serious health issues. SYMPTOMS: The couple was suffering from Primary infertility. The female partner has a history of irregular fallopian tubes, tuberculosis and peritubular adhesions, and a left-sided complex ovarian cyst. In addition to that, COVID-19 positive status during her pregnancy was raised as well. The male partner was found positive for the HBsAg test. DIAGNOSIS, THERAPEUTIC INTERVENTIONS AND OUTCOMES: Due to a prolonged stretch of infertility, the couple was advised to take up the treatment using the IVF/ART procedures. Four frozen embryo transfers were completed. After the 3rd and 4th frozen embryo transfers, pregnancy took place, and two male babies were conceived, respectively. Both the babies didn't survive following the delivery. CONCLUSION: After the completion of the 3rd and 4th frozen embryo transfers, two neonatal deaths have happened. During the course of pregnancy, after the 4th FET, women got infected with COVID-19 which possibly caused the unprosperous upshot.
ABSTRACT
Since face masks may help slow the spread of diseases, a patient may wear a face mask for an MRI exam during the COVID-19 pandemic. However, metal parts, like nose or face clips within the mask, may burn the patient during an MRI. In this numerical study, we investigated the two-channel RF shimming effect on the RF-induced local SAR of a face mask with a metal strip. With the parallel transmission RF field exposure to the virtual adult male model with a face mask, the RF-induced local SAR1g is calculated for each excitation condition. Under the exposure limit of a whole-body averaged SAR of 2 W/kg and head averaged SAR of 3.2 W/kg, the peak SAR1g is 178 W/kg and 62 W/kg occurs at the nose touching the metal strip. The SAR1g value is higher on the skin area close to the metal strip than at other locations. The metal strip within the face mask could cause a potential RF-induced heating hazard. © 2022 IEEE.
ABSTRACT
Pregnancy associated atypical haemolytic uremic syndrome (p-aHUS) is an infrequent condition to be encountered during the puerperium period and is associated with microangiopathic haemolytic anaemia, thrombocytopenia as well as acute kidney injury. This syndrome is triggered by pregnancy in the women who are predisposed genetically leading to an unfortunate haemolytic disease which is associated with endothelial diffuse damage and consumption of the platelets. This is a dangerous condition which required prompt diagnosis as well as management. Diagnosing p-a HUS can be challenging for the treating clinicians as it may mimic other conditions like HELLP Syndrome during the pregnancy as well as postpartum period. Plasma exchange should be started within 24 hours of diagnosing the condition in order to prevent mortality. With the emergence of the corona virus pandemic, atypical SARS Covid -2 presentations during pregnancy have emerged, ranging from COVID-19-associated HELLP syndrome to intrauterine death. COVID-19 has been linked to an atypical haemolytic uremic syndrome, with COVID-19 causing ischemic acute tubular necrosis or thrombotic microangiopathy through a complex complement activation process. We are presenting a case of 28 year old female with nine months amenorrhea who presented with bilateral pedal oedema and oliguria since one week and had severe thrombocytopenia along with acute kidney injury following 28 days of contracting COVID-19. She was diagnosed as Post COVID-19 p-a HUS following diagnostic work up and was treated promptly with plasmapheresis leading to complete recovery.
ABSTRACT
The COVID-19 now became a pandemic and rising rapidly and spreading in all parts of the world like fire. India reported its first COVID-19 case on January 30, when a student arrived in Kerala from Wuhan. Thousands of people are acquiring this deadly virus daily and with many people dying from it. The major concern of all the countries is to protect its citizens and try to eradicate this disease as fast as possible. This paper aims to perform exploratory analysis using the concepts of data science on the confirmed cases, total deaths, and total recovered cases of this virus. The research work predicts the spread of the outbreak for the next five days by using time-series forecasting algorithms. This paper deals with learning about how the corona virus is spreading and using that trend to predict for the upcoming days. It would be able to predict to a suitable accuracy which can help the government learn about the statistics of this disease and prepare further for protection against this. The results are discussed at last with prediction and error estimates. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
A novel coronavirus (COVID-19) arose in Wuhan, China, in December 2019. Soon it spread to other countries worldwide to become a pandemic. Globally, governments enforced quarantine and social distancing measures to prevent the spread of the infection. Mass media and social media platforms played a crucial role in providing information regarding the Coronavirus. Since little is known about COVID-19, various fake news, misinformation and rumours spread across the digital media that panicked people into making panic deci-sions. The rapid spread of misinformation and stories via social media platforms such as Twitter, Facebook and YouTube became a vital concern of the government and public health authorities. Medical misinformation and unver-ifiable content about the COVID-19 pandemic are spreading on social media at an unprecedented pace. Mitigating the advent of rumours and misinformation during the COVID-19 epidemic is crucial, since misinformation and fake news creates panic, fear and anxiety among people, predisposing them to various mental health conditions. Instead of considering social media as a secondary medium, it should be utilised to convey important information. Besides, it allows citizens to address their queries directly. Several governments across the world have taken actions to contain the pandemic of misinformation, yet measures are required to prevent such communication complications.