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Serious postpartum hemorrhage risk prediction model suitable for grassroots and construction method thereof

A technology for postpartum hemorrhage and risk prediction, applied in medical data mining, patient-specific data, medical informatics, etc., to achieve the effect of reducing the incidence of postpartum hemorrhage and maternal death risk and utilizing medical resources

Pending Publication Date: 2022-07-29
川北医学院附属医院
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

So far, there is still no accurate risk prediction and evaluation standard for severe postpartum hemorrhage. Some studies have pointed out that the prediction accuracy rate of the "Postpartum Hemorrhage Prediction Scale" is only 32.11%.

Method used

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  • Serious postpartum hemorrhage risk prediction model suitable for grassroots and construction method thereof
  • Serious postpartum hemorrhage risk prediction model suitable for grassroots and construction method thereof
  • Serious postpartum hemorrhage risk prediction model suitable for grassroots and construction method thereof

Examples

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Embodiment 1

[0031] The invention provides a risk prediction model for severe postpartum hemorrhage applicable to the grassroots level. The risk prediction model for postpartum hemorrhage takes the population with severe postpartum hemorrhage as a test sample to screen out the risk factors affecting severe postpartum hemorrhage. The formula of the prediction model for severe postpartum hemorrhage is as follows:

[0032] P=1 / e logitP +e logitP , where, LogtiP= -1.0116+0.5849×X1 (whether there is concurrent placenta previa, if not, take 0, if yes, take 1) -0.4465×X2 (gestational age, less than 37 weeks, take 1, 37-40 weeks, take 2, greater than or equal to 40 Week 3) + 0.0209×X3 (pre-pregnancy BMI, less than 25, take 0, greater than or equal to 25, take 1) + 0.6927×X4 (number of previous cesarean sections, 0 times, 1 times, 1 times, 2 times greater than or equal to 2 times) ).

[0033] The diagnostic criteria for severe postpartum hemorrhage are: bleeding volume ≥1500ml or hysterectomy a...

Embodiment 2

[0036] The present embodiment provides a method for constructing a risk prediction model for severe postpartum hemorrhage applicable to the basic level, including the following steps:

[0037] 1. Test sample collection and clinical data extraction

[0038] Postpartum hemorrhage maternal cases were collected, excluding cases with gestational age less than 28 weeks and incomplete main indicators, the remaining cases were divided into non-serious postpartum hemorrhage group and severe postpartum hemorrhage group, and the severe postpartum hemorrhage group was used as the test sample. The diagnostic criteria for severe postpartum hemorrhage are: bleeding volume ≥1500ml or hysterectomy and admission to ICU or transfusion of red blood cells ≥5U or plasma transfusion ≥500ml.

[0039]The clinical classification variable indicators of each test sample in the severe postpartum hemorrhage group were retrieved, including age, pre-pregnancy BMI, gestational age, number of pregnancies, numb...

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Abstract

The invention discloses a postpartum hemorrhage risk prediction model suitable for grassroots and a construction method thereof, and belongs to the technical field of risk prediction. Comprising the following steps: collecting serious postpartum hemorrhage cases as test samples, and extracting clinical sizing classification variable indexes of each test sample; a statistical method is adopted to screen out risk factors influencing serious postpartum hemorrhage in the clinical styling classification variable indexes, wherein the risk factors comprise previous cesarean delivery times, existence of placenta implantation, existence of preposed placenta, pre-pregnancy BMI and pregnancy weeks; the factors for prenatal placenta implantation judgment are removed, and a Logistic regression early warning model for predicting serious postpartum hemorrhage is constructed according to OR values of the four high-risk factors. The method can effectively predict the occurrence risk of serious postpartum hemorrhage of primary medical institutions, effectively utilizes medical resources, and reduces the occurrence rate of postpartum hemorrhage of lying-in women and the mortality risk of pregnant and lying-in women.

Description

technical field [0001] The invention relates to the field of risk model prediction, in particular to a severe postpartum hemorrhage risk prediction model applicable to the grassroots and a construction method thereof. Background technique [0002] Postpartum hemorrhage (PPH) refers to the bleeding volume of vaginal delivery ≥ 500ml and cesarean section delivery ≥ 1000ml within 24 hours after the fetus is delivered. It is a serious complication of childbirth and the main cause of maternal death in my country. The main causes of postpartum hemorrhage include uterine atony (tone), placental tissue residue (tissue), tissue laceration (trauma), and abnormal coagulation function (thrombin). Different causes correspond to different risk factors. In the past, uterine atony was the primary cause of postpartum hemorrhage. In 2018, the monitoring results of pregnant and lying-in women in my country showed that uterine atony accounted for only 35% of the causes of postpartum hemorrhage,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/30G16H50/70G16H10/60
CPCG16H50/30G16H50/70G16H10/60
Inventor 石琪熊小莉袁玉红胡静王虎
Owner 川北医学院附属医院
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