Cargando…

Predicting Post-operative Blood Inflammatory Biomarkers Using Pre-operative Heart Rate Variability in Patients With Cervical Cancer

Blood inflammatory biomarkers, including the neutrophil-to-lymphocyte ratio (NLR), the lymphocyte-to-monocyte ratio (LMR), and the platelet-to-lymphocyte ratio (PLR), play a significant role in determining the prognosis of patients with cervical cancer (CC). Currently, no methods are available to pr...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Jian, Liu, Shiqi, Gao, Longfei, Li, Guangqiao, Xu, Jie, Sun, Yilin, Wang, Jingfeng, Shi, Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8599823/
https://www.ncbi.nlm.nih.gov/pubmed/34803724
http://dx.doi.org/10.3389/fphys.2021.696208
_version_ 1784601027013509120
author Liu, Jian
Liu, Shiqi
Gao, Longfei
Li, Guangqiao
Xu, Jie
Sun, Yilin
Wang, Jingfeng
Shi, Bo
author_facet Liu, Jian
Liu, Shiqi
Gao, Longfei
Li, Guangqiao
Xu, Jie
Sun, Yilin
Wang, Jingfeng
Shi, Bo
author_sort Liu, Jian
collection PubMed
description Blood inflammatory biomarkers, including the neutrophil-to-lymphocyte ratio (NLR), the lymphocyte-to-monocyte ratio (LMR), and the platelet-to-lymphocyte ratio (PLR), play a significant role in determining the prognosis of patients with cervical cancer (CC). Currently, no methods are available to predict these indexes pre-operatively. Cardiac autonomic function is determined based on the heart rate variability (HRV), which is also associated with a progressive inflammatory response and cancer. Thus, the main aim of this study was to evaluate the feasibility of using pre-operative HRV parameters in CC patients to predict post-operative blood inflammation biomarkers as a means of determining prognosis. Between 2020 and 2021, 56 patients who were diagnosed with CC and then underwent hysterectomy surgery at the Department of Gynecologic Oncology, First Affiliated Hospital, Bengbu Medical College were enrolled in this study. Five-minute electrocardiogram data were collected 1 day before the operation for analysis of HRV parameters, including frequency domain parameters (LF, HF, and LF/HF) and Poincaré plot parameters (SD1, SD2, and SD2/SD1). Venous blood was collected 2 days post-operatively and inflammatory biomarkers were evaluated, with the NLR, LMR, and PLR determined. Pre-operative SD2 was significantly associated with post-operative PLR, with each 1-unit increase in SD2 decreasing the PLR value by 2.4 ± 0.9 (P < 0.05). Besides, LF/HF was significantly correlated with NLR, with each 1-unit increase in LF/HF increasing the NLR value by 1.1 ± 0.5 (P < 0.05). This association was independent of patient age and body mass index. These results suggest that the pre-operative autonomic nervous system plays a role in the regulation of post-operative cancer inflammation and that pre-operative HRV parameters can potentially predict post-operative inflammation and facilitate clinical treatment decisions.
format Online
Article
Text
id pubmed-8599823
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-85998232021-11-19 Predicting Post-operative Blood Inflammatory Biomarkers Using Pre-operative Heart Rate Variability in Patients With Cervical Cancer Liu, Jian Liu, Shiqi Gao, Longfei Li, Guangqiao Xu, Jie Sun, Yilin Wang, Jingfeng Shi, Bo Front Physiol Physiology Blood inflammatory biomarkers, including the neutrophil-to-lymphocyte ratio (NLR), the lymphocyte-to-monocyte ratio (LMR), and the platelet-to-lymphocyte ratio (PLR), play a significant role in determining the prognosis of patients with cervical cancer (CC). Currently, no methods are available to predict these indexes pre-operatively. Cardiac autonomic function is determined based on the heart rate variability (HRV), which is also associated with a progressive inflammatory response and cancer. Thus, the main aim of this study was to evaluate the feasibility of using pre-operative HRV parameters in CC patients to predict post-operative blood inflammation biomarkers as a means of determining prognosis. Between 2020 and 2021, 56 patients who were diagnosed with CC and then underwent hysterectomy surgery at the Department of Gynecologic Oncology, First Affiliated Hospital, Bengbu Medical College were enrolled in this study. Five-minute electrocardiogram data were collected 1 day before the operation for analysis of HRV parameters, including frequency domain parameters (LF, HF, and LF/HF) and Poincaré plot parameters (SD1, SD2, and SD2/SD1). Venous blood was collected 2 days post-operatively and inflammatory biomarkers were evaluated, with the NLR, LMR, and PLR determined. Pre-operative SD2 was significantly associated with post-operative PLR, with each 1-unit increase in SD2 decreasing the PLR value by 2.4 ± 0.9 (P < 0.05). Besides, LF/HF was significantly correlated with NLR, with each 1-unit increase in LF/HF increasing the NLR value by 1.1 ± 0.5 (P < 0.05). This association was independent of patient age and body mass index. These results suggest that the pre-operative autonomic nervous system plays a role in the regulation of post-operative cancer inflammation and that pre-operative HRV parameters can potentially predict post-operative inflammation and facilitate clinical treatment decisions. Frontiers Media S.A. 2021-11-04 /pmc/articles/PMC8599823/ /pubmed/34803724 http://dx.doi.org/10.3389/fphys.2021.696208 Text en Copyright © 2021 Liu, Liu, Gao, Li, Xu, Sun, Wang and Shi. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Liu, Jian
Liu, Shiqi
Gao, Longfei
Li, Guangqiao
Xu, Jie
Sun, Yilin
Wang, Jingfeng
Shi, Bo
Predicting Post-operative Blood Inflammatory Biomarkers Using Pre-operative Heart Rate Variability in Patients With Cervical Cancer
title Predicting Post-operative Blood Inflammatory Biomarkers Using Pre-operative Heart Rate Variability in Patients With Cervical Cancer
title_full Predicting Post-operative Blood Inflammatory Biomarkers Using Pre-operative Heart Rate Variability in Patients With Cervical Cancer
title_fullStr Predicting Post-operative Blood Inflammatory Biomarkers Using Pre-operative Heart Rate Variability in Patients With Cervical Cancer
title_full_unstemmed Predicting Post-operative Blood Inflammatory Biomarkers Using Pre-operative Heart Rate Variability in Patients With Cervical Cancer
title_short Predicting Post-operative Blood Inflammatory Biomarkers Using Pre-operative Heart Rate Variability in Patients With Cervical Cancer
title_sort predicting post-operative blood inflammatory biomarkers using pre-operative heart rate variability in patients with cervical cancer
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8599823/
https://www.ncbi.nlm.nih.gov/pubmed/34803724
http://dx.doi.org/10.3389/fphys.2021.696208
work_keys_str_mv AT liujian predictingpostoperativebloodinflammatorybiomarkersusingpreoperativeheartratevariabilityinpatientswithcervicalcancer
AT liushiqi predictingpostoperativebloodinflammatorybiomarkersusingpreoperativeheartratevariabilityinpatientswithcervicalcancer
AT gaolongfei predictingpostoperativebloodinflammatorybiomarkersusingpreoperativeheartratevariabilityinpatientswithcervicalcancer
AT liguangqiao predictingpostoperativebloodinflammatorybiomarkersusingpreoperativeheartratevariabilityinpatientswithcervicalcancer
AT xujie predictingpostoperativebloodinflammatorybiomarkersusingpreoperativeheartratevariabilityinpatientswithcervicalcancer
AT sunyilin predictingpostoperativebloodinflammatorybiomarkersusingpreoperativeheartratevariabilityinpatientswithcervicalcancer
AT wangjingfeng predictingpostoperativebloodinflammatorybiomarkersusingpreoperativeheartratevariabilityinpatientswithcervicalcancer
AT shibo predictingpostoperativebloodinflammatorybiomarkersusingpreoperativeheartratevariabilityinpatientswithcervicalcancer