Association between daily vital signs during radiotherapy and severe infection in cancer patients: A case-control study.
환자-대조
1/5 보강
PICO 자동 추출 (휴리스틱, conf 3/4)
유사 논문P · Population 대상 환자/모집단
35 patients with severe infection and 200 controls were analyzed.
I · Intervention 중재 / 시술
radiotherapy between 2016 and 2022
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
In cancer patients receiving radiotherapy, changes in HR, SBP, SI, and HR variability in the days preceding severe infection may serve as feasible, self-monitored indicators for early detection in outpatient or home settings. However, the relatively small number of infection events (n = 35) may limit the statistical robustness of our findings, and further validation is needed.
Severe infection poses a major threat to cancer patients due to treatment-related immunosuppression.
- 표본수 (n) 35
- 연구 설계 case-control
APA
Li MH, Chiu YC, et al. (2026). Association between daily vital signs during radiotherapy and severe infection in cancer patients: A case-control study.. Medicine, 105(8), e47747. https://doi.org/10.1097/MD.0000000000047747
MLA
Li MH, et al.. "Association between daily vital signs during radiotherapy and severe infection in cancer patients: A case-control study.." Medicine, vol. 105, no. 8, 2026, pp. e47747.
PMID
41731835
Abstract
Severe infection poses a major threat to cancer patients due to treatment-related immunosuppression. Early identification and timely intervention are essential to reducing infection-related mortality. This study investigated whether daily vital signs recorded during radiotherapy could predict severe infection. We conducted a retrospective case-control study of cancer patients who received radiotherapy between 2016 and 2022. Cases were patients who developed severe infection during radiotherapy, while controls completed radiotherapy without infection. Patients with over a 2-day interval between the last radiotherapy session and infection diagnosis were excluded. Included patients had ≥ 5 recorded daily vital-sign measurements. Collected data included demographics, vital signs, cancer type, treatments, comorbidities, and infection outcomes. Logistic regression and area under the receiver operating characteristic curve (AUROC) were used to assess predictive value. A total of 35 patients with severe infection and 200 controls were analyzed. Head and neck cancer and lung cancer were the most common cancer types in the infection group. Significant predictors included lower last systolic blood pressure (SBP), higher last heart rate (HR), an increased last shock index (SI, calculated as HR/SBP), and greater HR variability across the last 2 to 5 radiotherapy sessions. In multivariable models, last SI and HR variability remained independent predictors, with AUROC values ranging from 0.773 to 0.803. In cancer patients receiving radiotherapy, changes in HR, SBP, SI, and HR variability in the days preceding severe infection may serve as feasible, self-monitored indicators for early detection in outpatient or home settings. However, the relatively small number of infection events (n = 35) may limit the statistical robustness of our findings, and further validation is needed.
MeSH Terms
Humans; Male; Case-Control Studies; Female; Vital Signs; Retrospective Studies; Neoplasms; Middle Aged; Aged; Radiotherapy; Infections; ROC Curve; Adult; Heart Rate