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(wow) Words Of Wonders Level 2625 Answers – Menstrual irregularities and vaginal bleeding after COVID-19 vaccination reported in V-SAFE Active Surveillance, USA, December 2020-January 2022: an observational cohort study

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(wow) Words Of Wonders Level 2625 Answers

Anecdotal reports of menstrual irregularities have been reported after administration of COVID-19 vaccines in post-licensure and post-licensing follow-up. Our objective was to identify and classify reports of menstrual irregularities and vaginal bleeding after vaccination against COVID-19 that were subjected to a voluntary system of active surveillance.

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The observational cohort study included COVID-19 vaccine recipients who were 18 years of age or older and reported their health experiences to V-Safe, a voluntary smartphone-based active surveillance system to monitor vaccine safety. against COVID-19 in the TO US. December 14, 2020 to January 9, 2022. Responses to survey questions about post-vaccination reactions were extracted and a pre-trained natural language inference model was used to identify and respond to text comments. Free related to menstruation and vaginal bleeding. Open: Complete any symptom questionnaire in the intervals after vaccination. Related responses were further divided into topics of time, severity, perimenopausal and postmenopausal bleeding, resumption of menses, and other responses. We examined the relationship between symptom topic and respondent characteristics, including vaccine type and number of doses received, reported local and systemic reactions, and need for medical care.

63,815 respondents reported menstrual irregularities or vaginal bleeding, including 62,679 female respondents (1.0% of 5,975,363 female respondents aged ≥18 years). Common themes identified included the timing of menstruation (70,981 [83.6%] responses) and the severity of menstrual symptoms (56,890 [67.0%] responses). Other topics included menopausal bleeding (3,439 [4.0%] responses) and resumption of menstruation (2,378 [2.8%] responses). Respondents who reported menopausal bleeding were more likely to seek medical attention than those who reported other menstrual issues and vaginal bleeding.

Reports of heterogeneous symptoms related to menstruation or vaginal bleeding after COVID-19 vaccination were submitted to V-safe, although this study was unable to characterize the association of these symptoms with COVID-19 vaccination. Methods using pretrained models to interpret and classify adverse signs and symptoms in free-text reports hold promise for the initial assessment of unexpected adverse events potentially associated with the use of newly licensed or licensed vaccines.

There are three COVID-19 vaccines in use in the US. Two are mRNA vaccines: BNT162b2 (tozinameran; Pfizer-BioNTech) and mRNA-1273 (elazareren; Moderna), each requiring two doses to complete the series. primary. The other is a single-dose adenovirus vector-based vaccine, Ad26.COV2.S (Janssen Pharmaceuticals Companies of Johnson & Johnson [Janssen or Johnson & Johnson]). As of June 12, 2022, more than 221 million people in the US have been fully vaccinated.

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Common side effects of the COVID-19 vaccine include local reactions, such as pain at the injection site, and systemic reactions, such as fever and fatigue.

Serious adverse events after vaccination against COVID-19 are rare and include anaphylaxis, thrombosis with thrombocytopenia syndrome after administration of Ad26.COV2.S,

Updated recommendations from the Advisory Committee on Immunization Practices for the use of Janssen (Johnson & Johnson) COVID-19 vaccine among vaccine recipients following reports of thrombosis with thrombocytopenia syndrome – United States, April 2021.

Use of COVID-19 mRNA Vaccine Following Reports of Myocarditis in Vaccine Recipients: Update from the Advisory Committee on Immunization Practices – United States, June 2021.

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There were reports of menstrual irregularities and vaginal bleeding after COVID-19 vaccination on social and traditional media, the vaccine adverse event reporting system, vaccine tracking systems in the UK and Norway, and surveys. online.

Menstrual-related symptoms and vaginal bleeding were not reported adverse events in clinical trials of COVID-19 vaccines, and were not reported as pre-specified symptoms in V-Safe, a voluntary active surveillance system that monitors the status health after vaccination against COVID-19 in the US in .

In August 2021, the National Institutes of Health announced funding for research studies investigating potential links between COVID-19 vaccination and menstruation.

A study funded by this initiative among users of a fertility tracking app reported that an increase in menstrual cycle length of less than 1 day was associated with vaccination against COVID-19;

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However, this study was initially limited to men with normal cycle lengths (24-38 days). Our objective was to characterize and classify free-text reports of menstrual irregularities and vaginal bleeding by V-clarity in response to an open request for symptoms.

We searched the PubMed and Google databases from inception to June 12, 2022 using the search terms “menstrual*”, “COVID-19”, and “vaccine” without language restrictions. There have been reports of menstrual irregularities and vaginal bleeding after receiving COVID-19 vaccines in social media and traditional media, the US vaccine adverse event reporting system, monitoring systems in the UK, Norway and other countries, and online surveys. A study among users of a fertility tracking app suggests that the COVID-19 vaccine can increase the length of the menstrual cycle by less than 1 day. The distribution of these events and their characteristics are still poorly understood.

In this observational cohort study, we identified free-text reports of menstruation and vaginal bleeding submitted by 63,815 individuals (of whom 62,679 [98.2%] were women) in the active surveillance system for the safety of Vaccines, V-SAFE. Symptoms related to the timing or severity of menstruation are the most common. Men who report symptoms related to menopausal bleeding are more likely to seek medical attention. To our knowledge, this study is the first to specifically assess menstrual irregularities and vaginal bleeding after COVID-19 vaccination in a large US population. Vaccine Safety Surveillance System. Methods that interpret and classify the text can help assess symptoms that are not specifically requested in vaccine safety surveillance systems.

Menstrual irregularities and vaginal bleeding were reported after COVID-19 vaccination, although this study was unable to assess whether these events were caused by COVID-19 vaccination. Text analysis methods can speed up the identification of potential vaccine reactions that are not prespecified in structured data collection. Further studies are needed to better understand its distribution and pathophysiology.

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V-safe is an active surveillance system to monitor the safety of the US-administered COVID-19 vaccine. Centers for Disease Control and Prevention (CDC). Anyone in the US and its territories who receives a COVID-19 vaccine and can access V-Secure through a smartphone can participate in this active surveillance system. Respondents self-register and receive text message reminders to complete surveys at specified intervals after vaccination.

From 0 to 7 days after each dose, the study asks for local and systemic reactions and allows for an unstructured text response to the message: “Any other symptoms or health conditions you wish to report.” At 2-6 weeks and 3, 6, and 12 months post-dose, the survey allows for an unstructured text response to the following message: “Since your last checkup, have you had any new or changing symptoms or health problems? has it gotten worse? (If yes, describe.” When respondents enter another dose on their report, the survey is timed again.

We reviewed V-Secure accounts from December 14, 2020 through January 9, 2022 for adults age 18 and older. To identify text responses potentially related to menstrual disorders or vaginal bleeding, we filtered the 6,168,832 free text responses to select word fragments (“men,” “menstruation,” “spotting,” “period,” “cycle,” ” miscarriage”, “menorrhea” or “metrorrha”) or (“bleeding” or “blood” and “menopause”, “uterus”, “vagus”, “breakthrough”, “breakthrough”, “endometrium”, “guests”, “term” or “quarter”; Appendix P1). Although the search terms were intended for English text, we will not restrict responses by language. We evaluated the performance of the search filter by manually reviewing 2,000 random responses and identifying responses related to menstruation or vaginal bleeding. We apply zero-trigger text classification to responses filtered using automatic, two-way regression transformations (known as BARTs).

Body. The multi-genre natural language inference contains over 432,000 tagged sentence pairs and provides a wide range of non-specific text for symptom reporting, including transcribed face-to-face and phone conversations, government reports, magazine articles, and contemporary fiction. Zero-shot classification, in which data can be classified into classes that are not observed in the model’s training data, enables the classification of large amounts of textual data that would be slow to manually evaluate and annotate.

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This method has advantages over strict keyword searches because it identifies text responses that are semantically closely related, even if different words are used to describe the same concept. We proposed a hypothesized explanation, and the BART model assigned a probability score, or the probability that the explanation described the observed text.

In the analysis, we included responses that had a probability of 0.9 or greater that stated at least one of the following main hypotheses: “This refers to a period”, “This refers to spotting”, “This refers to vaginal bleeding” , “This refers to uterine bleeding” and “This refers specifically to a missed or missed period” (Appendix P1). We evaluated the performance of this step by manually reviewing 1,000 random responses that matched the initial search filter for the relationship between menstruation or vaginal bleeding. .

We used zero-shot classification to further divide the responses into the following themes, which are categories based on the subject’s hypothesis statements (Appendix P2): timing of menses, severity of menses, and resumption of menses after a period without menstruation. ჩვენ განვსაზღვრეთ თემა, რომელიც დაკავშირებულია პერიმენოპაუზურ და სისხლდენასთან, შემდგომში მოხსენიებული, როგორც მენოპაუზის სისხლდენა, მათ შორის, რომლებიც შეიცავდა სტრიქონს „მენოპაუზას“ ან იყო 59 წლის და უფროსი ასაკის ასაკის რესპონდენტისგან რესპონდენტისგან რესპონდენტისგან რესპონდენტისგან რესპონდენტისგან რესპონდენტისგან რესპონდენტისგან და და წლის წლის იყო იყო იყო იყო იყო იყო იყო ან ან ძველი ბარიერი აირჩია ბევრი

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