62 results about "Preterm Births" patented technology

The invention relates to the technical field of biomedicine, in particular to a gestational period premature delivery risk auxiliary prediction method and system, and the method comprises the steps: obtaining the historical body data and delivery cycle of a pregnant woman, and determining the historical premature delivery degree of the pregnant woman according to the delivery cycle; according to the premature delivery degree difference between different historical pregnant women and the deviation degree change condition difference of the same type of body data during each physical examination, determining the premature delivery correlation degree of different types of body data of the historical pregnant women; clustering the historical pregnant women according to the deviation time difference of the same type of body data among different historical pregnant women, determining the overall correlation of each type of body data according to the number of pregnant women in the cluster and the premature delivery correlation degree of the corresponding type of body data, and screening out the target type of body data; and based on the body data of the target type of the historical pregnant woman during different times of physical examination, constructing a premature delivery prediction model to perform premature delivery prediction. According to the method, the accuracy of premature delivery prediction is effectively improved.

The present invention relates to clinical diagnostics including diagnosis, prognosis, prediction, risk assessment and / or risk stratification of preterm birth (PTB) and subsequent treatment in a pregnant subject, and corresponding methods and products. The invention provides decision tools to help clinicians choosing the most appropriate management for the pregnant women. In particular, the present invention relates to a method for the diagnosis, prognosis, prediction, risk assessment and / or risk stratification of preterm birth (PTB) in a pregnant subject, the method comprising determining a level of one or more biomarkers in a sample that has been isolated from said pregnant subject, wherein the one or more biomarkers comprise at least one of matrix metallopeptidase 9 (MMP9) or fragment(s) thereof and Pappalysin-2 (PAPP-A2) or fragment(s) thereof, wherein the level of the one or more biomarkers in the sample is indicative of the presence or absence of a subsequent PTB.

There is provided a computer system and a computer-implemented method for prediction of parameters indicative of the risk of spontaneous preterm birth (sPTB) for a subject under assessment, the method being executed by at least one hardware processor and comprising the steps of: providing one or more ultrasound images comprising medical image data representative of the anatomical structure and appearance of at least a part of a cervix of the subject; providing a plurality of segmentations of the medical image data each representative of one or more features of the anatomical structure and appearance of the at least a part of the cervix of the subject; and utilizing i) the medical image data, ii) spatial information associated with the medical image data and iii) one or more of the segmentations in a classifier model to determine a prediction metric indicative of the likelihood of sPTB for the subject.

The invention discloses a uterine contraction detection method based on multi-modal signal fusion reconstruction, which comprises the following steps of: 1, synchronously acquiring an abdominal surface uterine electromyographic signal in real time through a high-density electrode array, acquiring a uterine contraction pressure signal in cooperation with a fundus pressure sensor, synchronizing a triaxial accelerometer signal to acquire a maternal motion signal, and preprocessing; 2, performing time sequence alignment and resampling on the data, and constructing a quality mask to form a multi-mode uterine contraction signal data set; 3, constructing a reconstruction network based on multi-modal feature fusion; 4, constructing a total loss function of the multi-modal feature fusion reconstruction network; and 5, training a reconstruction network of multi-modal feature fusion, wherein the reconstruction network is used for fusion reconstruction of the multi-modal uterine contraction data. According to the invention, through multi-modal signal fusion and deep feature correlation analysis, accurate monitoring and prediction of uterine contraction and premature delivery risks in the pregnant and birth period can be realized.

The invention discloses an excrement metabolism marker for predicting spontaneous premature delivery based on UHPLC-MS (Ultra High Performance Liquid Chromatography-Mass Spectrometry) and application, and belongs to the technical field of biological medicines. According to the premature pregnant woman excrement metabolite specific biomarker and the application thereof, the premature pregnant woman excrement metabolite specific biomarker is screened out through a non-targeted metabonomics technology, and the marker is 1-hydroxyl vitamine d2, Mirtazapine n-oxide, Tetraethene glycol or a combination of the 1-hydroxyl vitamine d2, the Mirtazapine n-oxide and the Tetraethene glycol. A premature delivery prediction model established by using the marker is high in sensitivity and good in specificity, and a reference basis is provided for early prediction and accurate prevention of spontaneous premature delivery.

The application discloses application of TCTP protein in preparation of noninvasive premature birth diagnosis products and relates to the technical field of biological medicine. The application can estimate the premature birth risk by detecting the TCTP protein content or the TCTP gene expression quantity in peripheral blood of a pregnant woman, the method only needs 0.5ml peripheral blood of the mother, is safe for the mother and infant, and has the advantages of simplicity, high sensitivity, low cost and simple operation. In 126 sample examples in the embodiment of the application, the premature birth detection rate of the method is 91%, and in the control group, the false positive rate is 8.6% (5 examples / 58 examples), so the method has high accuracy.

A diagnosis system for predicting a preterm birth risk includes an artificial intelligence engine comprising a plurality of first classifiers, each having as first input of complex impedances measured at a plurality of different frequencies from cervical tissues during pregnancy and optionally as a second input at least one of preterm history, pregnancy stage, age, pH level, etc., and a Meta classifier configured to output an indication of the preterm birth risk, with as a third input being the outputs of each of the first classifiers, wherein the first and the second inputs are pre-processed using a plurality of different pre-processing methods, each the same or different for each classifier, and wherein the third inputs are post-processed using a plurality of different post-processing methods, each the same or different for the outputs of each first classifiers.

Disclosed herein are methods and kits for assessing the risk of preterm birth (PTB) and hypertensive disorders of pregnancy (HDPs) by analyzing immune responsiveness in a subject.

A cervical cup includes a body having a flange and a vacuum port so that application of a vacuum to the port will secure the cervical cup to a cervix disposed inside of the body of the cup. Example of the disclosed methodology to treat preterm birth includes inserting of a cervix into a cervical cup and applying a vacuum to a vacuum port of the cervical cup so as to secure the cervical cup to the cervix.

The invention discloses a premature delivery risk assessment method based on abundance of estradiol degradation genes in excrement samples in the early pregnancy stage, and the method is used for assessing the premature delivery risk of a maternal body based on abundance information of novel estradiol degradation genes in the excrement samples of individuals in the early pregnancy stage. The specific gene is k1412944177, and the nucleotide sequence of the specific gene is SEQ. NO. 1. Research finds that the gene can be used as a biomarker for evaluating the premature delivery risk at the early pregnancy stage, and by detecting the relative abundance of the gene in a maternal excrement sample at the early pregnancy stage, a scientific and accurate risk evaluation basis can be provided for the maternal premature delivery risk. And the expression of the biomarker also has the capability of degrading and regulating estradiol related to premature delivery, so that a brand new thought is provided for precise prevention of premature delivery and individualized obstetrical management.

The disclosure provides biomarker panels, methods and kits for determining the probability for preterm birth in a pregnant female. The present disclosure is based, in part, on the discovery that certain proteins and peptides in biological samples obtained from a pregnant female are differentially expressed in pregnant females that have an increased risk of developing in the future or presently suffering from preterm birth relative to matched controls. The present disclosure is further based, in part, on the unexpected discovery that panels combining one or more of these proteins and peptides can be utilized in methods of determining the probability for preterm birth in a pregnant female with relatively high sensitivity and specificity. These proteins and peptides disclosed herein serve as biomarkers for classifying test samples, predicting a probability of preterm birth, monitoring of progress of preterm birth in a pregnant female, either individually or in a panel of biomarkers.

This invention relates to a group of genes associated with preterm birth, methods for predicting preterm birth in early pregnancy using these genes, and their related applications. Specifically, this invention obtains transcript start site features from at least one of the following genes from the pregnant woman's cfDNA sample: TEX2, WNK1, LINC00970, LOC124900437, IGFL4, LOC105376571, LOC105376577, SERPINB10, LOC642554, and SLC26A7. These transcript start site features are then input into a prediction model, and the output results are used to determine the risk of preterm birth. The prediction model obtained by this invention has higher accuracy than existing models, providing more accurate clinical intervention guidance and reducing medical costs.

Disclosed herein are methods for treating or reducing symptoms of preterm labor or decreasing preterm birth in a subject. The methods include administering to the subject a therapeutically effective amount of a compound for tocolytic use.

The invention discloses application of TCTP protein in preparation of a noninvasive premature delivery diagnosis product, and relates to the technical field of biological medicine. According to the method, the premature delivery risk can be estimated by detecting the TCTP protein content or TCTP gene expression quantity in the peripheral blood of the pregnant woman, only 0.5 ml of peripheral blood of the mother is needed, the method is safe to the mother and the infant, and the method is simple, high in sensitivity, low in cost and easy to operate. In 126 samples in the embodiment of the invention, the premature delivery detection rate detected by the method is 91%, the false positive rate in a control group is 8.6% (5 samples / 58 samples), and the method has high accuracy.

The invention belongs to the technical field of medicines for obstetrics and gynecology, and particularly relates to slow-release hydrogel for preventing premature delivery as well as a preparation method and application of the slow-release hydrogel. The sustained-release hydrogel for vaginal administration comprises a uterine contraction inhibitor, a medicinal gel matrix, polycarbophil, glycerol, liquid paraffin and sorbic acid. According to the sustained-release hydrogel, through local administration, the first-pass elimination effect is avoided, the biocompatibility is good, trauma is avoided, sustained release of the medicine can be achieved, repeated administration is avoided, and the compliance of a patient is improved. Meanwhile, the bioavailability is improved, the curative effect of the medicine is enhanced, the dosage can be reduced, the economic cost can be reduced, and safety and high efficiency are achieved.

A polynucleotide, a kit, an isothermal detection method and a method for predicting premature birth, the method for predicting premature birth comprising: analyzing the expression profile of any one or at least two gene sets in a maternal sample, and predicting whether the subject will have premature birth according to the expression profile. The present application detects the expression amount of the marker gene in the serum of pregnant women for the first time, which is used for the prediction of premature birth risk of pregnant women without clinical symptoms. The main advantage is serological detection, no need to make an appointment in advance like ultrasound, non-invasive detection, no need for vaginal or cervical sampling, and good detection process experience.

This invention provides a kit and detection method for detecting the Siglec fusion mutation gene and the GBS pathogenic gene. It is used for rapid combined detection of the Siglec5 / 14 fusion mutation gene, a preterm birth susceptibility gene, and the GBS pathogenic gene. It can effectively assess the risk of gynecological reproductive tract infections, preterm birth in pregnant women, and infection in newborns. It solves the problem that existing kits only detect the conditionally pathogenic bacteria and have poor specificity for disease association. The detection using this kit is faster and more sensitive. The detection process is closed-loop, avoiding the additional operation of electrophoresis differentiation. It is low-cost and easy to promote.

A system and method for determining cervical stiffness in a patient, to help identify the risk of preterm birth in pregnant patients, based on abnormal changes in cervical stiffness during pregnancy. A probe is inserted to engage the patient's cervix and activated to deform the cervix a predetermined amount. The amount of force needed for the probe to deform the cervix the predetermined amount is measured and a cervical stiffness value can be displayed, based on how much force was needed to deform the cervix the predetermined amount. The probe can include a piston, cuff or loop or an expanding head to deform the cervix. The probe can include the related electronics to activate the probe and display the results as well as preterm birth risk warnings.

In the present invention, thanks to a prospective multicenter cohort study including 200 pregnant patients with five-serum sampling per patient, inventors investigated the concentrations of protein biomarkers in the plasma of high risk pregnant women during the second and third trimesters to predict spontaneous preterm birth. Inventors demonstrated that PROK1 (Prokineticin 1) also called EG-VEGF (Endocrine Gland-derived Vascular Endothelial Growth Factor), is secreted by the placenta and exhibits increased serum levels in patients with sPTB, before 37 weeks of gestation, compared with uncomplicated pregnant women. More precisely, Women with spontaneous preterm birth exhibited higher concentrations of serum PROK1 / EG-VEGF than uncomplicated patients at 20 weeks, 24 weeks, 28 weeks and 32 weeks. Accordingly, serum PROK1 / EG-VEGF concentrations could be considered as biomarker of spontaneous preterm birth in high-risk pregnant women.

The invention relates to a spontaneous premature delivery prediction system and method based on a B ultrasonic image, the system comprises a model training unit and a spontaneous premature delivery prediction unit, the model training unit is used for training models required by spontaneous premature delivery prediction, and the models comprise an image segmentation model and a multiple regression prediction model; the spontaneous premature delivery prediction unit is used for performing cervical segmentation and image feature extraction on a clinical image by using a trained image segmentation model, summarizing image features and table data, performing overall risk prediction by using a trained multiple regression prediction model and outputting a prediction result of the overall risk; the prediction result is used for reflecting the probability of premature delivery of the pregnant woman, and auxiliary information is provided for a doctor.

The invention relates to the field of medicine, in particular to a pregnant woman premature delivery prediction system based on uterus electromyographic signals. Body surface electrodes are used for detecting the uterus electromyographic signals of the abdomen of a puerpera; the analog / digital converter is electrically connected with the body surface electrode, and the analog / digital converter receives electric signals of the body surface electrode and converts the electric signals into digital signals. And the memory is arranged on the microprocessor and is used for storing data. The microprocessor is electrically connected with the analog / digital converter, receives data of the analog / digital converter and stores the data into the memory; a computer program is stored on the memory, and the following method for predicting the premature delivery of the pregnant woman based on the uterine electromyographic signals is realized when the computer program is executed by the processing device.

The application provides a method and application for inhibiting premature birth of sows or shortening delivery process, and particularly discloses a method and application for inhibiting premature birth of sows or shortening delivery process of sows by using vitamin B6 or derivatives thereof. The application aims at the perinatal period problem of low survival rate of newborn piglets caused by premature birth or long delivery process of sows, and vitamin B6 or derivatives thereof is applied to sows in the late gestation period, and the result shows that the vitamin B6 or derivatives thereof can effectively inhibit premature birth of sows, shorten delivery process of sows and improve the survival rate of piglets, and is an effective method for improving delivery of sows and improving survival of piglets, and provides great value for promoting batch production of sows and high-efficiency breeding, and has important significance for solving the perinatal period premature birth problem in the field of reproduction.

To provide biomarker panels, methods and kits for determining the probability for preterm birth in a pregnant female.SOLUTION: The present disclosure is based, in part, on the discovery that certain proteins and peptides in biological samples obtained from a pregnant female are differentially expressed in pregnant females that have an increased risk of developing preterm birth in the future or presently suffering from preterm birth relative to matched controls. The present disclosure is further based, in part, on the unexpected discovery that panels combining one or more of these proteins and peptides can be utilized in methods of determining the probability for preterm birth in a pregnant female with relatively high sensitivity and specificity.SELECTED DRAWING: None

Spontaneous preterm birth (sPTB) is premature delivery prior to 37 weeks of pregnancy and is a leading cause of infant mortality worldwide. sPTB is associated with a unique gene expression profile. Identified herein are numerous safe and proven therapeutic compositions used for unrelated indications that have the biological effect of reversing, in part, the gene expression profile of sPTB and which can be used in preventative or interventional treatments to prevent, delay, or ameliorate sPTB. The repurposed drugs include several Class A and Class B therapeutics that are regarded as safe or low risk in pregnant subjects.

A composition for topical application to the oral cavity, for the use in pregnant women to reduce the risk of preterm birth, comprising an ester of vitamin E with a carboxylic acid of formula R—COOH, in which R is an alkyl radical having 1 to 19 carbon atoms, or an alkenyl or alkynyl radical having 2 to 19 carbon atoms, and an oily vehicle; the ester of vitamin E can be selected from vitamin E acetate, n-propionate or linoleate, preferably alpha-tocopheryl acetate.

A system, device, and method of controlling, supporting, and / or elongating the cervix uteri are provided to treat gestation complications and / or delay the onset of childbirth such that the gestation period of a fetus can be extended to prevent preterm birth and childbirth of the fetus. A cervical control system may include a body configured to be placed in the vagina. The body has an internal channel configured for receiving a cervix therein and an inflatable and / or inflatable inner cuff extending from a portion of the internal channel. The inner cuff may inflate inwardly toward the cervix, or downwardly away from the cervix, or both inwardly and downwardly, such that the inner cuff may engage or clamp the cervix to secure the cervix control system in place while pressing the cervix to close, elongate, and / or adjust the cervix orientation angle.

The invention discloses a biomarker for predicting premature delivery risk and application of the biomarker. The biomarker is an HLA (human leukocyte antigen) mismatched Eplet: HLA-DRB1 (human leukocyte antigen) Eplet 73A; eplet 73A mismatch information is obtained based on HLA typing of a mother and a filial generation, premature delivery prediction can be performed by using the Eplet, and the premature delivery risk level of a pregnant woman to be detected is judged, so that premature prediction and premature prevention of the mother and the child with the premature delivery risk in the gestation period are facilitated; the marker disclosed by the invention is high in sensitivity and high in specificity, and has a better clinical application prospect compared with a traditional method.

The invention provides a spontaneous premature delivery prediction system based on machine learning, and belongs to the technical field of gynecological medical data processing and machine learning, and the system comprises a data preprocessing module which is used for obtaining pregnant woman pregnancy and delivery related data from a hospital electronic medical record system and an obstetrical standard data set, and generating an initial independent variable matrix; the model building and training module is used for training the initial independent variable matrix by adopting a Light GBM algorithm and a Transform deep learning model to obtain an initial prediction model; the model optimization module is used for evaluating the contribution degree of each variable to a prediction result by adopting a replacement importance method, screening core independent variables and retraining the model to obtain a simplified prediction model; and the prediction output module is used for preprocessing the clinical data of the to-be-predicted pregnant woman according to the data preprocessing module, inputting the preprocessed clinical data into the simplified prediction model, and outputting spontaneous premature delivery risk probabilities of the corresponding pregnant woman in different pregnancy periods. The technical problem of premature delivery prediction can be practically solved.

The present disclosure relates to methods of analyzing the methylation level of differential DNA methylation regions (DMRs) obtained from buccal cells. Also disclosed herein are methods of analyzing methylation level of DMRs for identification and prevention of preterm birth in human subjects.

The present invention relates generally to the field of compositions comprising myo-inositol for use in the prevention of preterm birth and / or of conditions linked to preterm delivery in a female subject and / or in the offspring. The composition may be a nutritional composition, for example a maternal nutrition composition. The composition may be specifically designed to provide optimized nutrition to a woman desiring to get pregnant or to a pregnant woman.