Is Stress a Cause or a Consequence of Endometriosis?

Reis, Fernando M.; Coutinho, Larissa Milani; Vannuccini, Silvia; Luisi, Stefano

doi:10.1007/s43032-019-00053-0

Cited by 32 publications

(13 citation statements)

References 81 publications

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“…A dor é descrita como excruciante, incapacitante, que imobiliza essas mulheres. Desse modo, muitas mulheres acabam faltando no trabalho pois não conseguem realizar suas atividades normalmente 2 . Assim, as pacientes com endometriose podem exibir uma diminuição na produtividade no trabalho, uma elevada taxa de absenteísmos, diminuição do ganho mensal e menor chance de promoção e evolução na carreira profissional 5 .…”

Section: Resultsunclassified

“…Nesse cenários a dúvida que norteia essa pesquisa é qual a percepção de melhora que se obtém pelas mulheres, nos quesitos vida profissional, vida sexual e aspecto financeiro com o uso das medicações, frente ao não uso durante o período de espera do diagnóstico? Seriam essas positivas e em termos relativos ao tempo sem uso da medicação, demonstrando assim melhoras nos aspectos de vida profissional, sexual e financeira; visto que são as situações que mais afligem as mulheres com endometriose 1,2…”

Section: Introdução Aunclassified

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Impacto do tratamento medicamentoso da endometriose nas questões profissionais, sexuais e econômicas das mulheres

Trindade¹,

Bianchin²,

Kluppel³

et al. 2021

SaudColetiv (Barueri)

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Objetivo: avaliar a melhora da qualidade de vida das mulheres com endometriose sob o tratamento medicamentoso e a demora no diagnóstico. Método: o estudo se deu por meio de inquérito on-line via plataforma GoogleForms®, dirigido à mulheres diagnosticadas com endometriose. Resultado: foram entrevistadas um total de 476 mulheres (entre 19 e 38 anos de idade) residentes na cidade de Joinville e Região, a grande maioria nos estágios I e II de endometriose. A entrevista levantou dados sobre tempo até diagnóstico, medicamentos e terapêuticas utilizados, graus de comprometimento profissional, vida sexual e impacto econômico antes e após diagnostico e tratamento. Conclusão: o diagnóstico e tratamento correto para a endometriose, amenizando a sintomatologia e gastos extras, auxiliam na redução dos impactos sociais, econômicos e profissionais na vida das mulheres com essa doença.

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Section: Resultsunclassified

Section: Introdução Aunclassified

Impacto do tratamento medicamentoso da endometriose nas questões profissionais, sexuais e econômicas das mulheres

Trindade¹,

Bianchin²,

Kluppel³

et al. 2021

SaudColetiv (Barueri)

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“…Besides, the presence of psychiatric diseases was related to endometriosis-associated pain but not with lesions localization [ 43 , 44 ]. It is clear that the adverse effect of endometriosis on QoL are related to various factors, including pain/discomfort symptoms, infertility, and high intensity of stress perception [ 1 , 45 , 46 ]. In addition, ethnicity may affect quality of life of endometriotic patients through different pain conceptualization and access and acceptance to health care.…”

Section: Discussionmentioning

confidence: 99%

Comorbidities and Quality of Life in Women Undergoing First Surgery for Endometriosis: Differences Between Chinese and Italian Population

et al. 2021

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An observational cross-sectional study was conducted in a group (n = 371) of fertile age women with endometriosis, by administering a structured questionnaire, in order to evaluate the incidence of gynecological and systemic comorbidities and the impact on quality of life (QoL) in two different groups of Italian and Chinese patients affected by endometriosis. Chinese (n = 175) and Italian (n = 196) women were compared regarding systemic (inflammatory, autoimmune, and mental) and gynecological comorbidities, pain symptoms, and QoL, by using the Short Form 12 (SF-12). Italian patients resulted younger at the diagnosis and suffered more frequently from severe pain than Chinese ones. Deep infiltrating endometriosis (DIE) and mixed phenotypes were more frequent in Italian patients, whereas ovarian (OMA) and superficial endometriosis (SUP) were more common in the Chinese. The Italian group showed more systemic comorbidities, and those disorder were already present before the diagnosis of endometriosis. Furthermore, the Italian group showed lower SF-12 physical and mental scores, suggesting a worse health-related QoL in Italian endometriotic patients. A number of differences has been observed between Italian and Chinese women with endometriosis in terms of comorbidities and QoL, which may be related to the ethnicity, the different health system organization and the social and cultural background.

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“…have strong association with endometriosis [48]. Recent clinical research also supports that women of reproductive age with 'chronic stress' are at a higher risk of developing endometriosis [47].…”

Section: Discussionmentioning

confidence: 99%

Predicting Endometriosis Onset Using Machine Learning Algorithms

Kleczyk¹,

Peri²,

Yadav³

et al. 2020

Preprint

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Background Endometriosis is a common progressive female health disorder in which tissues similar to the lining of the uterus grow on other parts of the body like ovaries, fallopian tubes, bowel, and other parts of reproductive organs. In women, it is one of the most common causes of pelvic pain and infertility. In the US, one in every ten women of reproductive age group has endometriosis. The actual cause of endometriosis is still unknown, and it is quite difficult to diagnose. There are several theories regarding the cause; however, not a single theory has been scientifically proven. Methods In this paper, we try to identify the drivers of endometriosis’ diagnoses via leveraging advanced Machine Learning (ML) algorithms. The primary risks of infertility and other health complications can be minimized to a great extent, if likelihood of endometriosis can be predicted well in advance. As a result, the proper medical care and treatment can be given to the impacted patients. To demonstrate the feasibility, Logistic Regression (LR) and eXtreme Gradient Boosting (XGB) algorithms were trained on 36 months of medical history data. Results The machine learning models were used to predict the likelihood of disease on qualified patients from the healthcare claims patient level database. Several directly and indirectly features were identified as important in accurate prediction of the condition onset, including selected diagnosis and procedure codes. Conclusions Leveraging the machine learning approaches can aid early prediction of the disease and offer an opportunity for patients to receive the needed medical treatment earlier in the patient journey. Creating a typing tool that can be integrated into the Electronic Health Records (EHR) systems and easily accessed by healthcare providers could further aid the objective of improving the diagnosis activities and inform the diagnostic processes that would result in timely and precise diagnosis, ultimately increasing patient care and quality of life.

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Is Stress a Cause or a Consequence of Endometriosis?

Cited by 32 publications

References 81 publications

Impacto do tratamento medicamentoso da endometriose nas questões profissionais, sexuais e econômicas das mulheres

Impacto do tratamento medicamentoso da endometriose nas questões profissionais, sexuais e econômicas das mulheres

Comorbidities and Quality of Life in Women Undergoing First Surgery for Endometriosis: Differences Between Chinese and Italian Population

Predicting Endometriosis Onset Using Machine Learning Algorithms

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