Association between resting heart rate and prognosis in patients with gastric cancer

This study aimed to evaluate prognostic value of resting heart rate (RHR) in patients with gastric cancer. We analyzed 1,561 patients who underwent radical gastrectomy at Severance Hospital, Korea. RHRs were measured after surgery, and detailed medical, treatment, and lifestyle information was collected. Cox regression models were used to estimate the hazard ratios (HRs) and 95% confidence interval (95% CI) for the association between postoperative RHR and prognostic outcomes. During a median of 4 years of follow-up, we identified 174 total deaths, 92 major complications (within 30 days), 186 recurrences, and 106 gastric-cancer-specific deaths. In multivariable-adjusted models, HRs (95% CI) per 10 beats per minute increase in RHR were 1.18 (1.07-1.31) for all-cause mortality, 1.45 (1.33-1.59) for major complication within 30 days, 1.13 (1.02-1.26) for recurrence, and 1.07 (0.93-1.24) for gastric cancer-specific mortality. We consistently observed that higher postoperative RHR is associated with poor prognostic outcomes regardless of demographics, lifestyle, and cancer stage in patients with gastric cancer. In conclusion, an elevated postoperative RHR was associated with an increased risk of all-cause mortality, major complications, and recurrence in patients with gastric cancer. RHR can potentially be used to predict the prognosis of patients with gastric cancer.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-02-24
DOI
https://doi.org/10.1038/s41598-025-89577-x
Primary Topic
Heart rate and cardiovascular health
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association between resting heart rate and prognosis in patients with gastric cancer

Justin Y. Jeon, Yoo Min Kim, Woo Jin Hyung, Gyu Seok Cho et al.
Scientific Reports
Heart rate and cardiovascular health
article

Association between resting heart rate and prognosis in patients with gastric cancer

Justin Y. Jeon, Yoo Min Kim, Woo Jin Hyung, Gyu Seok Cho, Edward L. Giovannucci, Dong Hoon Lee, Hyoung‐Il Kim, Tae Ho Lee, Sung Hyun Park, Dong‐Hyuk Park
article en

Abstract

This study aimed to evaluate prognostic value of resting heart rate (RHR) in patients with gastric cancer. We analyzed 1,561 patients who underwent radical gastrectomy at Severance Hospital, Korea. RHRs were measured after surgery, and detailed medical, treatment, and lifestyle information was collected. Cox regression models were used to estimate the hazard ratios (HRs) and 95% confidence interval (95% CI) for the association between postoperative RHR and prognostic outcomes. During a median of 4 years of follow-up, we identified 174 total deaths, 92 major complications (within 30 days), 186 recurrences, and 106 gastric-cancer-specific deaths. In multivariable-adjusted models, HRs (95% CI) per 10 beats per minute increase in RHR were 1.18 (1.07-1.31) for all-cause mortality, 1.45 (1.33-1.59) for major complication within 30 days, 1.13 (1.02-1.26) for recurrence, and 1.07 (0.93-1.24) for gastric cancer-specific mortality. We consistently observed that higher postoperative RHR is associated with poor prognostic outcomes regardless of demographics, lifestyle, and cancer stage in patients with gastric cancer. In conclusion, an elevated postoperative RHR was associated with an increased risk of all-cause mortality, major complications, and recurrence in patients with gastric cancer. RHR can potentially be used to predict the prognosis of patients with gastric cancer.

Scientific ReportsVol. 15(1)
Harvard University (US), Yonsei University (KR), Severance Hospital (KR), Yonsei University Health System (KR)
Yonsei University
Openalex Percentile: Top 94%
Heart rate and cardiovascular health
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.