Retrospective Study
Copyright ©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Clin Cases. Jan 6, 2024; 12(1): 51-58
Published online Jan 6, 2024. doi: 10.12998/wjcc.v12.i1.51
Clinical nursing value of predictive nursing in reducing complications of pregnant women undergoing short-term massive blood transfusion during cesarean section
Li Cheng, Li-Ping Li, Yuan-Yuan Zhang, Fang Deng, Ting-Ting Lan
Li Cheng, Department of Obstertrics, Wuhan Third Hospital, Wuhan 430000, Hubei Province, China
Li-Ping Li, Department of Gynaecology, Wuhan No. 1 Hospital, WuHan 430030, Hubei Province, China
Yuan-Yuan Zhang, Fang Deng, Ting-Ting Lan, Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610072, Sichuan Province, China
Co-first authors: Li Cheng and Li-Ping Li.
Author contributions: Cheng L and Li LP designed the research; Zhang YY, Deng F and Lan TT performed the research; Lan TT contributed new reagents/analytic tools; Cheng L, Li LP, Zhang YY, Deng F and Lan TT analyzed the data; Cheng L and Li LP wrote the paper.
Institutional review board statement: This study protocol was approved by Sichuan Provincial People's Hospital, and all the families have voluntarily participated in the study and have signed informed consent forms.
Informed consent statement: Patients were not required to give informed consent to the study because the analysis used anonymous clinical data that were obtained after each patient agreed to treatment by written consent.
Conflict-of-interest statement: The authors declared no conflict of interest existing in this paper.
Data sharing statement: Data generated from this investigation are available upon reasonable quest from the corresponding author.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (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 and the use is non-commercial. See:
Corresponding author: Ting-Ting Lan, Supervisor Nurse, Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, No. 32 West Section 2, First Ring Road, Qingyang District, Chengdu 610072, Sichuan Province, China.
Received: October 11, 2023
Peer-review started: October 11, 2023
First decision: October 24, 2023
Revised: November 8, 2023
Accepted: December 18, 2023
Article in press: December 18, 2023
Published online: January 6, 2024
Research background

Short-term massive blood transfusion is easy to increase the infection risk and physical stress response of parturient with cesarean section (CS) bleeding. It is of great significance to introduce predictive nursing for CS parturient.

Research motivation

To explore the clinical effect of predictive nursing on bleeding during CS.

Research objectives

To compare the clinical nursing efficacy and physical stress response of CS women under different nursing care.

Research methods

The pregnant women who received rapid and massive blood transfusion during CS were selected, and the differences of stress response, complications and pain scores of pregnant women under different nursing modes were compared.

Research results

Predictive nursing can effectively reduce the pain response, stress response and postoperative complications of pregnant women.

Research conclusions

Predictive nursing mode has better clinical effect on pregnant women with CS bleeding after short-term massive blood transfusion, and the probability of postoperative complications is less.

Research perspectives

Predictive nursing has important clinical significance in postoperative nursing of CS, which is worth popularizing widely.