Serious postpartum hemorrhage risk prediction model suitable for grassroots and construction method thereof
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..
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Patent| Erscheinungsjahr: |
2022 |
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| Erschienen: |
2022 |
| Enthalten in: |
Europäisches Patentamt - (2022) vom: 29. Juli Zur Gesamtaufnahme - year:2022 |
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| Sprache: |
Englisch |
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| Beteiligte Personen: |
SHI QI [VerfasserIn] |
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| Links: |
Volltext [kostenfrei] |
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| Themen: |
Sonstige Themen: |
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| Anmerkungen: |
Source: www.epo.org (no modifications made), First posted: 2022-07-29, Last update posted on www.tib.eu: 2023-06-15, Last updated: 2023-06-23 |
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| Patentnummer: |
CN114822841 |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
EPA016120930 |
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| 245 | 1 | 0 | |a Serious postpartum hemorrhage risk prediction model suitable for grassroots and construction method thereof |
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| 520 | |a 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. | ||
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