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Spontaneous Abortion

Spontaneous Abortion: The unintentional expulsion of the contents of the uterus before the fetus is viable and without medical intervention.
This can occur due to a variety of factors, including chromosomal abnormalities, maternal health conditions, or unknown causes.
Prompt medical attention is often necessary to prevent complications and ensure the health of the mother.
Understanding the causes and management of spontaneous abortion is crucial for improving reproductive outcomes and supporting those experiencing this challenging event.

Most cited protocols related to «Spontaneous Abortion»

Study participants were identified among pregnant women during their first prenatal visit and were recruited as part of the Newborn Epigenetics STudy (NEST).68 (link) Between 2009 and 2011, pregnant women were recruited from five prenatal clinics with delivery capabilities at Duke and Durham Regional hospitals, the only two obstetric facilities serving Durham and neighboring counties. Eligibility criteria were age 18 and older and intention to use these obstetric facilities for delivery. Exclusion criteria included plans to relinquish custody of the child, plans to move from the area in the subsequent three years, and infection with HIV due to the limited research on the relationships between HIV, its treatment, and DNA methylation in the offspring.
As of December 2011, 2,548 women had been approached and 1,700 (66.6%) consented to participate. The 848 women who declined were similar to those who consented with respect to age (p = 0.70) but different with respect to race/ethnicity (p < 0.001), with the group that declined more likely to be Asian and Native American but similar with respect to other racial/ethnic groups. Of the 1,700 women, 396 were withdrawn due to miscarriage (n = 109), death of infant after birth (n = 4), illiteracy (n = 1), being underage (n = 1), or other (n = 21); or refused further participation (n = 146); or gave birth at an outside hospital (n = 114), such that 1304 (76.7%) women remained enrolled in the study up to the time of analysis. These analyses are limited to the 922 women in whom both depressed mood and parturition data are available. The study protocol was approved by the Duke University Institutional Review Board (IRB).
Publication 2012
American Indian or Alaska Native Asian Americans Childbirth DNA Methylation Eligibility Determination Ethnicity HIV Infections Infant, Newborn Infantile Neuroaxonal Dystrophy Mood Obstetric Delivery Pregnant Women Racial Groups Spontaneous Abortion Woman
The guideline was developed according to a well-documented methodology that is universal to ESHRE guidelines (Vermeulen, 2014 ).
In short, 18 key questions were formulated by the Guideline Development Group (GDG), with input from patient organizations (Fertility Europe, Miscarriage Association UK), and structured in PICO format (Patient, Intervention, Comparison, Outcome). For each question, databases (PUBMED/MEDLINE and the Cochrane library) were searched from inception to 31 March 2017, with a limitation to studies written in English. From the literature searches, studies were selected based on the PICO questions, assessed for quality and summarized in evidence tables and summary of findings tables (for interventions with at least two studies per outcome). Cumulative live birth rate, live birth rate and pregnancy loss rate (or miscarriage rate) were considered the critical outcomes. GDG meetings were organized where the evidence and draft recommendations were presented by the assigned GDG member, and discussed until consensus was reached within the group.
Each recommendation was labelled as strong or conditional and a grade was assigned based on the strength of the supporting evidence (High ⊕⊕⊕⊕ – Moderate ⊕⊕⊕○ Low ⊕⊕○○ – Very low ⊕○○○). In the absence of evidence, the GDG formulated no recommendation or a good practice points (GPP) based on clinical expertise (Table I).

Interpretation of strong versus conditional recommendations in the GRADE approach.*

Implications forStrong recommendationConditional recommendation
PatientsMost individuals in this situation would want the recommended course of action, and only a small proportion would not.The majority of individuals in this situation would want the suggested course of action, but many would not.
Clinicians

Most individuals should receive the intervention. Adherence to this recommendation according to the guideline could be used as a quality criterion or performance indicator.

Formal decision aids are not likely to be needed to help individuals make decisions consistent with their values and preferences.

Recognize that different choices will be appropriate for individual patients and that you must help each patient arrive at a management decision consistent with his or her values and preferences.

Decision aids may be useful in helping individuals to make decisions consistent with their values and preferences.

Policy makersThe recommendation can be adopted as policy in most situations.Policy making will require substantial debate and involvement of various stakeholders.

*Andrews et al. (2013) (link).

The guideline draft and an invitation to participate in the stakeholder review was published on the ESHRE website. In addition, all relevant stakeholders received a personal invitation to review by e-mail. We received 307 comments from 23 reviewers, representing 15 countries, two national societies (Royal College of Obstetricians and Gynaecologists, and Italian Society of Gynecology and Obstetrics Sigo – L’Associazione degli Ostetrici e Ginecologi Ospedalieri Italiani – Associazione Ginecologi Universitari Italiani) and one international research group (ESHRE/European Society for Gynaecological Endoscopy[ESGE] CONgenital UTerine Anomalies Group). All comments were processed by the GDG, either by adapting the content of the guideline and/or by replying to the reviewer. The review process was summarized in the review report which is published on the ESHRE website (www.eshre.eu/guidelines).
This guideline will be considered for update 4 years after publication, with an intermediate assessment of the need for updating 2 years after publication.
Publication 2018
cDNA Library Endoscopy, Gastrointestinal Europeans Fertility Gynecologist Needs Assessment Obstetrician Patients Spontaneous Abortion Uterine Anomalies
The CHAMA-COS (Center for the Health Assessment of Mothers and Children of Salinas) project, a component of the Center for Children’s Environmental Health Research at the University of California, Berkeley, is a longitudinal birth cohort study of the effects of pesticides and other environmental exposures on the health of pregnant women and their children living in the Salinas Valley. Pregnant women entering prenatal care at Natividad Medical Center, a county hospital located in the town of Salinas, or at one of five centers of Clinica de Salud del Valle de Salinas (located in Castroville, Salinas, Soledad, and Greenfield) were screened for eligibility over 1 year between October 1999 and October 2000. Clinica de Salud del Valle de Salinas is a network of community clinics located throughout the Salinas Valley and serving a low-income population, many of whom are farm workers.
Eligible women were ≥ 18 years of age, < 20 weeks gestation at enrollment, English or Spanish speaking, Medi-Cal eligible, and planning to deliver at the Natividad Medical Center. Of 1,130 eligible women, 601 (53.2%) agreed to participate in this multiyear study. Women who declined to participate were similar to study subjects in age and parity but were more likely to be English speaking and born in the United States and less likely to be living with agricultural field workers. After losses due to miscarriage, moving, or dropping from the study before delivery, birth weight information was available for 538 women. We excluded from these analyses women with gestational or preexisting diabetes (n = 26), hypertension (n = 15), twin births (n = 5), or stillbirths (n = 3). We also excluded one woman for whom birth weight information was out of range (< 500 g). Eleven infants diagnosed with congenital anomalies at birth [International Classification of Diseases, 9th Revision (ICD-9; 1989 ) codes 740–759] were included in the final sample because their exclusion did not materially affect the results. The final sample size was 488. Written informed consent was obtained from all participants, and the study was approved by the institutional review boards.
Publication 2004
Birth Weight Care, Prenatal Child Childbirth Congenital Abnormality Diabetes Mellitus Eligibility Determination Environmental Exposure Ethics Committees, Research Farmers High Blood Pressures Hispanic or Latino Infant Low-Income Population Mothers Obstetric Delivery Pesticides Pregnancy Pregnant Women Spontaneous Abortion Twins Woman
Since GBD 2010, we have used the World Cancer Research Fund criteria for convincing or probable evidence of risk–outcome pairs.16 For GBD 2019, we completely updated our systematic reviews for 81 risk–outcome pairs. Preferred Reporting Items for Systematic Reviews and Meta-Analyses flowcharts on these reviews are available in appendix 1 (section 4). Convincing evidence requires more than one study type, at least two cohorts, no substantial unexplained heterogeneity across studies, good-quality studies to exclude the risk of confounding and selection bias, and biologically plausible dose–response gradients. For GBD, for a newly proposed or evaluated risk–outcome pair, we additionally required that there was a significant association (p<0·05) after taking into account sources of potential bias. To avoid risk–outcome pairs repetitively entering and leaving the analysis with each cycle of GBD, the criteria for exclusion requires that with the available studies the association has a p value greater than 0·1. On the basis of these reviews and meta-regressions, 12 risk–outcome pairs included in GBD 2017 were excluded from GBD 2019: vitamin A deficiency and lower respiratory infections; zinc deficiency and lower respiratory infections; diet low in fruits and four outcomes: lip and oral cavity cancer, nasopharynx cancer, other pharynx cancer, and larynx cancer; diet low in whole grains and two outcomes: intracerebral haemorrhage and subarachnoid haemorrhage; intimate partner violence and maternal abortion and miscarriage; and high FPG and three outcomes: chronic kidney disease due to hypertension, chronic kidney disease due to glomerulonephritis, and chronic kidney disease due to other and unspecified causes. In addition, on the basis of multiple requests to begin capturing important dimensions of climate change into GBD, we evaluated the direct relationship between high and low non-optimal temperatures on all GBD disease and injury outcomes. Rather than rely on a heterogeneous literature with a small number of studies examining relationships with specific diseases and injuries, we analysed individual-level cause of death data for all locations with available information on daily temperature, location, and International Classification of Diseases-coded cause of death. These data totalled 58·9 million deaths covering eight countries. On the basis of this analysis, 27 GBD cause Level 3 outcomes met the inclusion criteria for each non-optimal risk factor (appendix 1 section 2.2.1) and were included in this analysis. Other climate-related relationships, such as between precipitation or humidity and health outcomes, have not yet been evaluated.
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Publication 2020
Cancer of Mouth Cancer of Nasopharynx Cancer of Pharynx Cerebral Hemorrhage Chronic Kidney Diseases Climate Climate Change Cold Temperature Diet Fruit Genetic Heterogeneity Glomerulonephritis Humidity Hypertensive Nephropathy Induced Abortions Injuries Laryngeal Cancer Malignant Neoplasms Mothers Respiratory Tract Infections Spontaneous Abortion Subarachnoid Hemorrhage Vitamin A Deficiency Whole Grains Zinc

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Publication 2015
Actigraphy Adrenal Glands Aneuploidy Birth Weight Care, Prenatal Congenital Abnormality Eligibility Determination Ethics Committees, Research Fetal Ultrasonography Gestational Age Hispanic or Latino Infant Mothers Obstetric Delivery Oocytes Pregnancy Pregnant Women Reproduction Sleep Spontaneous Abortion Tissue Donors Ultrasonography Vietnamese Woman

Most recents protocols related to «Spontaneous Abortion»

Example 2

Chlamydia is a common STI that is caused by the bacterium Chlamydia trachomatis. Transmission occurs during vaginal, anal, or oral sex, but the bacterium can also be passed from an infected mother to her baby during vaginal childbirth. It is estimated that about 1 million individuals in the United States are infected with this bacterium, making chlamydia one of the most common STIs worldwide. Like gonorrhea, chlamydial infection is asymptomatic for a majority of women. If symptoms are present, they include unusual vaginal bleeding or discharge, pain in the abdomen, painful sexual intercourse, fever, painful urination or the urge to urinate more frequently than usual. Of those who develop asymptomatic infection, approximately half may develop PID. Infants born to mothers with chlamydia may suffer from pneumonia and conjunctivitis, which may lead to blindness. They may also be subject to spontaneous abortion or premature birth.

Diagnosis of chlamydial infection is usually done by nucleic acid amplification techniques, such as PCR, using samples collected from cervical swabs or urine specimens (Gaydos et al., J. Clin. Microbio., 42:3041-3045; 2004). Treatment involves various antibiotic regimens.

In some embodiments, the disclosed device can be used to detect chlamydial infections from menstrual blood or cervicovaginal fluids.

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Patent 2024
Abdominal Pain Antibiotics Anus Asymptomatic Infections Bacteria Blindness Blood Childbirth Chlamydia Chlamydia Infections Chlamydia trachomatis Coitus Conjunctivitis Diagnosis Dysuria Fever Gonorrhea Infant Medical Devices Menstruation Mothers Neck Nucleic Acid Amplification Techniques Pain Patient Discharge Pneumonia Premature Birth Sexually Transmitted Diseases Spontaneous Abortion Transmission, Communicable Disease Treatment Protocols Urine Vagina Woman
The primary outcome was the risk of HDP. It was attempted to define HDP as sustained (on at least two occasions 6 h apart) blood pressure ≥ 140/90 mmHg after 20 weeks, with or without proteinuria and other signs or symptoms of preeclampsia and without a history of hypertension. As secondary outcomes, we analyzed some other perinatal risks and neonatal risks. Other perinatal risks included gestational diabetes mellitus (GDM), placenta previa, premature rupture of membrane, anemia, miscarriage, and stillbirth. Miscarriage was defined as the spontaneous loss of clinical pregnancy before 28 weeks of gestational age. Stillbirth was defined as the absence of signs of life at or after 28 weeks of gestation. Neonatal risks included preterm birth (<37 weeks’ gestation), extremely preterm birth (<32 weeks’ gestation), low birth weight (<2500 g), very low birth weight (<1500 g), and macrosomia (birth weight ≥4000 g) (6 (link)).
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Publication 2023
Anemia Birth Weight Blood Pressure Fetal Membranes, Premature Rupture Gestational Age Gestational Diabetes High Blood Pressures Infant, Newborn Infant, Very Low Birth Weight Placenta Previa Pre-Eclampsia Pregnancy Premature Birth Spontaneous Abortion
A case-control study was conducted at Saad Abuelela Maternity Hospital in Khartoum, Sudan, from June to December 2020. The cases were 60 pregnant women who presented with preeclampsia and have no history of pre-existing hypertension. Preeclampsia was defined as per the American College of Obstetricians and Gynaecologists criteria (ACOG Committee on Practice Bulletins—Obstetrics, 2020 (link)): pregnant women with onset of new hypertension (an average blood pressure reading of ≥140/90 mmHg taken on two occasions at least six hours apart) with proteinuria (≥ 300 mg/24 h) or features of end organ dysfunction in a previously normotensive woman. Preeclampsia was classified as severe in women with an average blood pressure reading of  ≥ 160/110 mmHg on two occasions or HELLP syndrome, which includes haemolysis, elevated liver enzymes and low platelet count; otherwise, preeclampsia was considered mild (ACOG Committee on Practice Bulletins—Obstetrics, 2020 (link)). The condition was also categorised as early presentation or late-onset preeclampsia, before and after 34  weeks, respectively (Tranquilli et al., 2013 (link)). Sixty healthy pregnant women without any systemic disease, such as hypertension, diabetes mellitus, renal disease or thyroid disease, served as a control for each preeclampsia case. Women with multiple pregnancies, diabetic women, smokers and women with fetuses who had major anomalies or died were excluded from both groups in the study.
After signing informed consent, the women were asked about their sociodemographic, obstetrics and clinical data, including age, parity, educational level, residence of antenatal attendance and history of miscarriage and preeclampsia/hypertension. Body mass index (BMI) was computed from the measured weight and height.
Then, 5 mL of blood was collected from each subject at the diagnosis and separated into two equal aliquots for blood and serum analysis. Haemoglobin levels were measured using a modern haematology analyser (Sysmex KX21n, Japan) according to the manufacturer’s instructions. The blood was then centrifuged and stored at −20°C until the assay of these elements. Serum ferritin was determined using the ferritin chemiluminescent immunoassay sandwich method [TOSOH instrument (AIA360), Japan]. Serum iron and total iron-binding capacity (TIBC) were measured using a colorimetric assay (Roche Diagnostics, Germany Cobas 311). Serum hepcidin and IL-6 concentrations were measured using an enzyme-linked immunosorbent assay according to the manufacturer’s instructions (Euroimmun, Lubeck, Germany).
The sample included 60 women in each group (ratio of 1:1) and was calculated using mean difference of 5 in the iron levels between the women who had preeclampsia and the healthy controls as reported before (Duvan et al., 2015 (link)). The sample size was used to achieve 80% power and a precision of 5%. It was assumed that 10% of the women would not respond or would provide incomplete data.
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Publication 2023
Biological Assay BLOOD Blood Pressure Colorimetry Diabetes Mellitus Diagnosis Enzyme-Linked Immunosorbent Assay Enzymes Ferritin Fetus Gynecologist HELLP Syndrome Hemoglobin Hemolysis Hepcidin High Blood Pressures Immunoassay Index, Body Mass Iron Kidney Diseases Liver Obstetrician Platelet Counts, Blood Pre-Eclampsia Pregnancy Pregnant Women Prehypertension Serum Spontaneous Abortion Thyroid Diseases Woman
Ultrasound visits were linked with delivery data from the birth log using maternal medical record number (MRN), expected date of delivery, and actual delivery date (Figure 1). We linked ultrasounds to a birth if the actual delivery date was within ±21 days of the expected date of delivery corrected for estimated GA at birth as recorded in the birth log. We included term and preterm births; a 21-day window was used to ensure the ultrasound data were linked with the correct baby. Some birth records (n = 448) had a missing GA at delivery. For these records, the GA at admission was used; in records for which GA was available at admission and delivery, the difference was larger than three days in only 2.9% of admissions. The resulting dataset included one or more ultrasound visits linked to one pregnancy and one delivery record in the birth log; for this analysis, we included only the index ultrasound as described above.
In the time frame specified above, the ultrasound database contained 52,691 unique ultrasounds. Of these, 30,870 were linked to the birth log via maternal MRN, leaving 21,821 unlinked ultrasounds. To confirm that our linking methods were appropriate, we reviewed charts of 400 unlinked pregnancies with an estimated delivery date within the date range for which birth logs were available. Chart review data was stored in REDCap (16 (link)). The majority (89%) of unlinked pregnancies ended in miscarriage/termination or birth at another hospital; only 11% appeared to be due to missing data or errors (e.g., mistyping a medical record number) in the birth log. Even with chart review, we could not determine with certainty whether these pregnancies were linked to a given birth, so we excluded all unlinked pregnancies. We also excluded ultrasounds from pregnancies that were linked with a birth log record for which sex was unavailable.
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Publication 2023
Childbirth Infant Mothers Obstetric Delivery Pregnancy Premature Birth Reading Frames Spontaneous Abortion Ultrasonics Ultrasonography
Here we use questionnaire data from the Swedish Maternal Microbiome (SweMaMi) cohort study [13 (link)] to identify potential risk factors for pre-pregnancy complications in comparison to having none.
Our second aim is to assess the differences in pre-pregnancy complications subgroups: RPL, subfertility, ART and late miscarriage, compared to the uncomplicated pre-pregnancy group and differences in early pregnancy symptoms.
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Publication 2023
Microbiome Pregnancy Pregnancy Complications Spontaneous Abortion

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More about "Spontaneous Abortion"

Spontaneous abortion, also known as miscarriage, is the unintentional expulsion of the contents of the uterus before the fetus is viable and without medical intervention.
This can occur due to a variety of factors, including chromosomal abnormalities, maternal health conditions, or unknown causes.
Prompt medical attention is often necessary to prevent complications and ensure the health of the mother.
Researchers studying spontaneous abortion may utilize various statistical software packages to analyze their data, such as SAS 9.4, SPSS for Windows version 22.0, GraphPad Prism 5, Stata version 13, or SPSS software version 16.0.
These tools can help identify risk factors, analyze trends, and develop predictive models for spontaneous abortion.
Understanding the causes and management of spontaneous abortion is crucial for improving reproductive outcomes and supporting those experiencing this challenging event.
Researchers may also explore the use of medications like Tamoxifen, which has been investigated for its potential to reduce the risk of recurrent spontaneous abortion.
Advancements in research and technology, such as those provided by AI-driven platforms like PubCompare.ai, can help streamline the process of locating and comparing relevant protocols for spontaneous abortion studies.
This can lead to more reproducible and accurate research, ultimately benefiting those affected by this condition.
Whether you're a researcher, healthcare provider, or someone personally impacted by spontaneous abortion, staying informed and accessing the right resources can make a significant difference in improving outcomes and supporting those in need.