39 results about "Preterm delivery" patented technology

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 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 invention discloses a system, method and device for premature delivery risk prediction and a storage medium, and belongs to the technical field of biomedical information. The system comprises a data acquisition module and a data processing device. The data acquisition module is used for acquiring hemoglobin concentration, serum ferritin concentration, age, BMI, pregnancy times, delivery times, marriage conditions, education degree and other clinical characteristic data of the pregnant woman in the early pregnancy period, the middle pregnancy period and the late pregnancy period; the input characteristics of the model comprise all data of the three stages of pregnancy; the risk score is then compared with a specific threshold value set based on a Youden index, and a risk level of preterm delivery, spontaneous preterm delivery, or iatrogenic preterm delivery is output. The Hb-SF-Clinical multi-feature prediction model is constructed by fusing the three-stage pregnancy dynamic biomarkers and clinical features, the AUC (early birth prediction) of the Hb-SF-Clinical multi-feature prediction model in a test set reaches up to 96.0%, the Hb-SF-Clinical multi-feature prediction model is remarkably superior to the prior art, high-precision and subtype early birth risk assessment is realized, and the clinical applicability is high.

Systems, devices, and methods are provided that control, support, and / or elongate a cervix to treat pregnancy complications and / or delay an onset of labor so that a gestational period for a fetus may be extended, thereby preventing preterm labor and delivery of the fetus. The systems and devices may be made by assembling a molded component configured to have a main body with a groove therein and a flange. During manufacturing, the flange may be inserted into the groove and bonded therein to form a cervical cuff balloon and a positioning balloon may be attached to an external surface of the main body. The molded component may further include an inflation media conduit in communication with the cervical cuff balloon.

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.

Described herein is a method of determining a subject has AKI including providing a urine sample from the subject, and detecting an AKI metabolomic biomarker in the urine sample. Also described herein is a method of evaluating the effect of AKI therapy in a subject with AKI including administering the AKI therapy to the subject, providing a urine sample from the subject after the administering, and detecting an AKI metabolomic biomarker in the urine sample. Methods of method of identifying metabolomic biomarkers associated with acute kidney injury (AKI) in preterm neonates are also described.

The invention relates to a delivery early warning method and system based on uterine contraction and fetal heart joint analysis, and belongs to the technical field of medical data processing. The early warning method comprises the following steps: arranging a plurality of electrode type A-type sensors on the abdomen of a pregnant woman, collecting uterine electromyographic signals, extracting a plurality of uterine activity indexes, and constructing uterine contraction behavior vectors under a time sequence; at least one magnetic intensity type class B sensor is arranged, a plurality of reference positioners are supplemented, weak magnetic field signals generated by fetal heart activity are collected and analyzed, a plurality of fetal response indexes are obtained, and a fetal response vector is constructed. The system further constructs a joint state vector based on stimulation (uterine contraction) and response (fetal heart) signals, compares the joint state vector with a pre-established normal sample reference model, calculates a deviation degree score, assesses whether the fetus has abnormal response in each time window, and outputs premature delivery or delivery risk levels in a grading manner.

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.

Disclosed are nutritional compositions including human milk oligosaccharides and nucleotides that can be administered to preterm infants, term infants, toddlers, and children for reducing inflammation and the incidence of inflammatory diseases.

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 provides an intelligent prediction system and method for prenatal complications of an obstetrical department based on multi-modal fusion of sclera characteristics and clinical indexes, and is applied to the technical field of data processing. The method comprises the following steps: performing preprocessing and fusion calculation on feature information in multi-modal data to generate fusion calculation data; the prenatal complications (such as gestational diabetes mellitus, gestational hypertension, premature rupture of fetal membranes and premature delivery) of the obstetrics department are dynamically predicted, and prediction characteristic parameters are generated; performing abnormal value filtering processing on the cross-modal feature weight, dynamically optimizing the weight in combination with a clinical and image feature correlation matrix, and generating feature weight data; processing the feature weight data to generate feature importance dynamic change data and abnormal features; processing the feature importance dynamic change data based on a preset risk judgment rule and the abnormal features to generate risk judgment data; and processing the risk judgment data and the prediction characteristic parameters to generate risk early warning information and a complication intervention instruction.

The application discloses a medicine composition for killing trichomonas vaginalis, and the active ingredients of the medicine composition are composed of fibraureus and metronidazole; the mass ratio of the fibraureus and the metronidazole is 1:1-8:1; in the process of killing the trichomonas vaginalis, the concentration of the fibraureus is 0.01-0.04 g / L, and the concentration of the metronidazole is 0.005-0.02 g / L. The medicine composition can effectively kill the trichomonas vaginalis, the fibraureus combined with the metronidazole can effectively reduce the medication time and the dosage of the metronidazole, can avoid the risk of premature delivery of pregnancy medication, and can reduce the health problems of breast-feeding infants during the medication period; the problems of adverse reactions and drug resistance of the metronidazole and other nitroimidazole drugs in treating trichomonas vaginalis disease are solved; the application provides a theoretical basis for treating drug-resistant trichomonas vaginalis vaginitis by combining traditional Chinese medicine with western medicine, and further expands the clinical application of the fibraureus.

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.

Aspects of the present disclosure provide, inter alia, a novel nutritional formula for infants and toddlers. Also provided are methods for promoting development of infants and toddlers, such as development of the brain, eye and / or immune system, including in preterm infants.

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.

The application provides a preterm birth prediction method and device based on uterine vector electromyographic signals and a processing device. A novel electrode arrangement scheme is specially designed. The collected uterine vector electromyographic signals are different from traditional uterine surface electromyographic signals, can more comprehensively reflect the spatial characteristics of uterine contraction activities, contain more signal characteristics related to preterm birth, and thus can obtain higher prediction accuracy for preterm birth under the condition of fewer measurement electrodes, and has clinical application value.

An insulin formulation and a method of preparing and using same. The insulin preparation includes insulin, oligosaccharide and sodium chloride at a ratio of 1:A:B (w:w:w respectively) with ranges of A and B are 1000-5000 and 10-50, respectively.

A device for retarding birth including an upper ring for surrounding a cervix, an anchoring component for anchoring the device, and an elastic component for attaching the upper ring to the anchoring component, wherein the elastic component pushes the upper ring and the anchoring component apart. A device for retarding birth including a sleeve for surrounding a cervix along a greater portion of a length of the cervix, a support strip on the sleeve directed along an axis of the sleeve, and a ring at least partially around the sleeve, in which when a top of the sleeve is pushed to expand radially, the support strip pivots on the ring, such that an end of the support strip near the top of the sleeve moves radially outward, and an end of the support strip near the bottom of the sleeve moves radially inward. Related apparatus and methods are also described.

Provided are a novel biomarker for predicting preterm birth and an analysis method therefor. This biomarker for predicting preterm birth is at least one selected from the group consisting of oleic acid, myristic acid, lauric acid, margaric acid, and batyl alcohol in amniotic fluid.

The invention discloses a biomarker and a method for evaluating the premature delivery risk of a maternal body at the early pregnancy stage and application of the biomarker, the biomarker is a combination of four microorganisms in intestinal flora, and the four microorganisms are respectively a clostridium-free clostridium strain, an uncertain algal strain, a mucous eubacterium strain CAG: 257 (Blauria sp. CAG: 257) and an eubacterium strain CAG: 251 (Eubacterium sp. CAG: 251). The invention further discloses a method for evaluating the premature delivery risk of the maternal body at the early pregnancy stage. The flora risk score is determined based on the relative abundance information of the various microorganisms in the individual, and the premature delivery risk of the individual can be evaluated in the early pregnancy stage.

Provided are methods of predicting the likelihood of preterm birth (PTB) or early preterm birth (ePTB) for a subject. The methods comprise performing 16S rRNA gene sequencing on vaginal fluid sample DNA to obtain vaginal microbiome 16S rRNA gene sequencing data, and harmonizing the vaginal microbiome 16S rRNA gene sequencing data. The methods further comprise transforming the harmonized vaginal microbiome 16S rRNA gene sequencing data into vaginal microbiome features, inputting the vaginal microbiome features into a predictive model, and predicting, using the predictive model, the likelihood of PTB or ePTB for the subject from whom the vaginal fluid sample was obtained. Computer readable media and systems that find use in practicing the methods of the present disclosure are also provided.

The invention discloses a heat preservation and moisture preservation garment for newborns. Relates to the technical field of neonatal clothes and comprises a hat, an upper garment and a lower garment which are connected in sequence, and the upper garment and the lower garment are of an integrated structure. First openings are formed in the middles of the upper garment and the lower garment, magnetic attraction type connection is arranged at the openings to achieve opening and closing, a displayer is arranged on the front face of the upper garment, and temperature sensors are arranged on the back and armpits of the upper garment; second openings are formed in the arm positions of the upper garment, and the second openings are provided with turnover hand sleeves. Third openings are formed in the shanks of the lower garment, and the third openings are provided with turnover foot sleeves. According to the newborn heat preservation and moisture preservation clothes, heat preservation and moisture preservation can be effectively conducted on a premature infant, by arranging the temperature sensor, the temperature of the infant and the temperature around the infant can be conveniently monitored, and the temperature is transmitted to the displayer through a signal to be displayed; a hand sleeve and a foot sleeve are arranged, so that the newborn can be fully wrapped; the heat preservation and moisture preservation clothes are made of transparent materials, have the advantages of being soft and thin, and do not affect physique observation of doctors.

The invention is directed to methods of identifying woman is risk for preterm delivery. In some aspects, the methods include quantitating one or more placental or fetal-tissue specific genes in a biological sample from the woman.

A cervix probe is equipped with a tactile sensor array and an ultrasound transducer and configured for simultaneous acquisition of stress data and ultrasound strain data for the same sector of the cervix. Acquired and recorded stress and strain data are transmitted to a data processor for calculating cervix elasticity and cervix length, followed by calculating a probability of spontaneous preterm delivery using a clinically validated predictive model.

The invention pertains to nutritional composition comprising non-digestible oligosaccharides [NDOs] selected from i) a mixture of galactooligosaccharides and long-chain fructooligosaccharides and / or ii) a mixture of human milk oligosaccharides comprising at least sialylated, fucosylated and N-acetylated oligosaccharides, for brain injury and / or impaired brain development in infants exposed to perinatal hypoxia and / or preterm infants. The invention further pertains to nutritional compositions comprising a mixture of human milk oligosaccharides comprising at least sialylated, fucosylated and N-acetylated oligosaccharides.

The present invention relates to a composition for use in pregnant subjects comprising Lactobacillus crispatus cells, wherein said composition minimises and / or prevents pregnancy complications, such as miscarriage, preterm labour and preterm birth.

Provided is a method of preventing and treating an onset of preterm labor and preterm birth, promoting fetal lung development, and reversing inflammation and reducing stress in the uterine environment by administering a pharmaceutically effective amount of Nestorone® (NES) to a pregnant individual in need thereof.

A system for providing information for diagnosing preterm birth risk includes: two or more transmit electrodes, contacting cervical tissues, for applying a plurality of first signals at different frequencies to the cervical tissues, two or more detect electrodes, contacting the cervical tissues, for detecting a plurality of second signals generated in response to the first signals, the second signals corresponding to the first signals, and a source configured to generate a plurality of signals. The system obtains a plurality of impedances of the cervical tissues based on the first and the second signals and applies data quality requirements for diagnosing the preterm birth risk. The data quality requirements include checking at least one of signal generation, signal reception, impedance calculation, quality of the first signals, quality of the second signals, and the impedances. The system includes a diagnosis engine configured to receive data including impedances that satisfy the data quality requirements, classify the data into different groups, each representing different status, based on correlation between the data, patient's information and the preterm birth risk, and output information for diagnosing the preterm birth risk.