Cargando…

Development and validation of a clinical diagnostic model for pregnant women with renal colic in the emergency department in China: a protocol for a retrospective cohort study

INTRODUCTION: Urolithiasis affects many people throughout their lives. Among the maternal population, although the morbidity of acute urolithiasis in pregnant women is unremarkable, it is the leading cause of hospitalisation during pregnancy. There is no effective clinical diagnostic tool to help do...

Descripción completa

Detalles Bibliográficos
Autores principales: Lin, YuZhan, Xu, ZhiKai, Ding, XiangCui, Chen, Lei, Dai, KangWei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9062803/
https://www.ncbi.nlm.nih.gov/pubmed/35501078
http://dx.doi.org/10.1136/bmjopen-2021-056510
_version_ 1784699028123942912
author Lin, YuZhan
Xu, ZhiKai
Ding, XiangCui
Chen, Lei
Dai, KangWei
author_facet Lin, YuZhan
Xu, ZhiKai
Ding, XiangCui
Chen, Lei
Dai, KangWei
author_sort Lin, YuZhan
collection PubMed
description INTRODUCTION: Urolithiasis affects many people throughout their lives. Among the maternal population, although the morbidity of acute urolithiasis in pregnant women is unremarkable, it is the leading cause of hospitalisation during pregnancy. There is no effective clinical diagnostic tool to help doctors diagnose diseases. Our primary aim was to develop and validate a clinical prediction model based on statistical methods to predict the probability of having disease in pregnant women who visited the emergency department because of urolithiasis-induced colic. METHODS AND ANALYSIS: We will use multivariate logistic regression analysis to build a multivariate regression linear model. A receiver operating characteristic curve plot and calibration plot will be used to measure the discrimination value and calibration value of the model, respectively. We will also use least absolute shrinkage and selection operator regression analysis combined with logistic regression analysis to select predictors and construct the multivariate regression model. The model will be simplified to an application that has been reported before, and users will only need to enter their clinical parameters so that risk probability is automatically derived. ETHICS AND DISSEMINATION: The review and approval documents of the clinical research ethics committee have been received from the ethics committee of our hospital (The Third Affiliated Hospital of Wenzhou Medical University). We will disseminate research findings through presentations at scientific conferences and publication in peer-reviewed journals.
format Online
Article
Text
id pubmed-9062803
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BMJ Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-90628032022-05-12 Development and validation of a clinical diagnostic model for pregnant women with renal colic in the emergency department in China: a protocol for a retrospective cohort study Lin, YuZhan Xu, ZhiKai Ding, XiangCui Chen, Lei Dai, KangWei BMJ Open Obstetrics and Gynaecology INTRODUCTION: Urolithiasis affects many people throughout their lives. Among the maternal population, although the morbidity of acute urolithiasis in pregnant women is unremarkable, it is the leading cause of hospitalisation during pregnancy. There is no effective clinical diagnostic tool to help doctors diagnose diseases. Our primary aim was to develop and validate a clinical prediction model based on statistical methods to predict the probability of having disease in pregnant women who visited the emergency department because of urolithiasis-induced colic. METHODS AND ANALYSIS: We will use multivariate logistic regression analysis to build a multivariate regression linear model. A receiver operating characteristic curve plot and calibration plot will be used to measure the discrimination value and calibration value of the model, respectively. We will also use least absolute shrinkage and selection operator regression analysis combined with logistic regression analysis to select predictors and construct the multivariate regression model. The model will be simplified to an application that has been reported before, and users will only need to enter their clinical parameters so that risk probability is automatically derived. ETHICS AND DISSEMINATION: The review and approval documents of the clinical research ethics committee have been received from the ethics committee of our hospital (The Third Affiliated Hospital of Wenzhou Medical University). We will disseminate research findings through presentations at scientific conferences and publication in peer-reviewed journals. BMJ Publishing Group 2022-05-02 /pmc/articles/PMC9062803/ /pubmed/35501078 http://dx.doi.org/10.1136/bmjopen-2021-056510 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Obstetrics and Gynaecology
Lin, YuZhan
Xu, ZhiKai
Ding, XiangCui
Chen, Lei
Dai, KangWei
Development and validation of a clinical diagnostic model for pregnant women with renal colic in the emergency department in China: a protocol for a retrospective cohort study
title Development and validation of a clinical diagnostic model for pregnant women with renal colic in the emergency department in China: a protocol for a retrospective cohort study
title_full Development and validation of a clinical diagnostic model for pregnant women with renal colic in the emergency department in China: a protocol for a retrospective cohort study
title_fullStr Development and validation of a clinical diagnostic model for pregnant women with renal colic in the emergency department in China: a protocol for a retrospective cohort study
title_full_unstemmed Development and validation of a clinical diagnostic model for pregnant women with renal colic in the emergency department in China: a protocol for a retrospective cohort study
title_short Development and validation of a clinical diagnostic model for pregnant women with renal colic in the emergency department in China: a protocol for a retrospective cohort study
title_sort development and validation of a clinical diagnostic model for pregnant women with renal colic in the emergency department in china: a protocol for a retrospective cohort study
topic Obstetrics and Gynaecology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9062803/
https://www.ncbi.nlm.nih.gov/pubmed/35501078
http://dx.doi.org/10.1136/bmjopen-2021-056510
work_keys_str_mv AT linyuzhan developmentandvalidationofaclinicaldiagnosticmodelforpregnantwomenwithrenalcolicintheemergencydepartmentinchinaaprotocolforaretrospectivecohortstudy
AT xuzhikai developmentandvalidationofaclinicaldiagnosticmodelforpregnantwomenwithrenalcolicintheemergencydepartmentinchinaaprotocolforaretrospectivecohortstudy
AT dingxiangcui developmentandvalidationofaclinicaldiagnosticmodelforpregnantwomenwithrenalcolicintheemergencydepartmentinchinaaprotocolforaretrospectivecohortstudy
AT chenlei developmentandvalidationofaclinicaldiagnosticmodelforpregnantwomenwithrenalcolicintheemergencydepartmentinchinaaprotocolforaretrospectivecohortstudy
AT daikangwei developmentandvalidationofaclinicaldiagnosticmodelforpregnantwomenwithrenalcolicintheemergencydepartmentinchinaaprotocolforaretrospectivecohortstudy