Zhiqiang Zhang, Shanshan Tang, Lei Chen, Yangyu Zhao, Tenglong Hu, Na Sun, Qiang Sun, Wenyan Liang, Xiqing Wei
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The observed mortality rates were 14.7% (in-hospital) and 17.3% (30-day). Higher BPV demonstrated significant associations with increased mortality risk, with SBPV showing the strongest relationship. For in-hospital mortality, each standard deviation increase in SBPV, DBPV, and MBPV corresponded to adjusted odds ratios of 1.56 (95% CI 1.51-1.62), 1.21 (95% CI 1.16-1.25), and 1.42 (95% CI 1.37-1.48), respectively. For 30-day mortality, adjusted hazard ratios were 1.37 (95% CI 1.33-1.41) for SBPV, 1.15 (95% CI 1.12-1.19) for DBPV, and 1.30 (95% CI 1.27-1.34) for MBPV. These associations remained robust across all patient subgroups. Increased blood pressure variability during hospitalization independently predicts higher in-hospital (14.7%) and 30-day mortality (17.3%) in HF patients, with SBPV showing the strongest association (OR: 1.56, 95% CI 1.51-1.62). 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引用次数: 0
摘要
研究心力衰竭(HF)患者血压变异性(BPV)与死亡率(住院和30天)之间的关系,并在患者亚组中检查这些关系。这项多中心回顾性队列研究分析了来自两个重症监护数据库(eICU合作研究数据库[eICU- crd]和重症监护医学信息市场[MIMIC-IV])的25,591例心力衰竭患者。采用收缩压(SBPV)、舒张压(DBPV)和平均血压(MBPV)测量值的变异系数来评估BPV。多变量logistic回归和Cox比例风险模型评估了死亡率的相关性,调整了临床参数。观察到的死亡率为14.7%(住院)和17.3%(30天)。较高的BPV与死亡风险增加有显著关联,其中SBPV表现出最强的相关性。对于院内死亡率,SBPV、DBPV和MBPV每增加一个标准差对应的校正优势比分别为1.56 (95% CI 1.51-1.62)、1.21 (95% CI 1.16-1.25)和1.42 (95% CI 1.37-1.48)。对于30天死亡率,SBPV校正风险比为1.37 (95% CI 1.33-1.41), DBPV校正风险比为1.15 (95% CI 1.12-1.19), MBPV校正风险比为1.30 (95% CI 1.27-1.34)。这些关联在所有患者亚组中都保持强劲。住院期间血压变异性升高独立预测HF患者较高的住院率(14.7%)和30天死亡率(17.3%),其中SBPV相关性最强(OR: 1.56, 95% CI 1.51-1.62)。BPV可作为住院心力衰竭患者危险分层的有价值的预后指标。
Blood pressure variability associated with in-hospital and 30-day mortality in heart failure patients: a multicenter cohort study.
To investigate the association between blood pressure variability (BPV) and mortality (in-hospital and 30-day) among heart failure (HF) patients, and to examine these associations across patient subgroups. This multicenter retrospective cohort study analyzed 25,591 heart failure patients from two intensive care databases (eICU Collaborative Research Database [eICU-CRD] and the Medical Information Mart for Intensive Care IV [MIMIC-IV]). BPV was assessed using coefficient of variation of systolic (SBPV), diastolic (DBPV), and mean (MBPV) blood pressure measurements. Multivariable logistic regression and Cox proportional hazards models evaluated mortality associations, adjusting for clinical parameters. The observed mortality rates were 14.7% (in-hospital) and 17.3% (30-day). Higher BPV demonstrated significant associations with increased mortality risk, with SBPV showing the strongest relationship. For in-hospital mortality, each standard deviation increase in SBPV, DBPV, and MBPV corresponded to adjusted odds ratios of 1.56 (95% CI 1.51-1.62), 1.21 (95% CI 1.16-1.25), and 1.42 (95% CI 1.37-1.48), respectively. For 30-day mortality, adjusted hazard ratios were 1.37 (95% CI 1.33-1.41) for SBPV, 1.15 (95% CI 1.12-1.19) for DBPV, and 1.30 (95% CI 1.27-1.34) for MBPV. These associations remained robust across all patient subgroups. Increased blood pressure variability during hospitalization independently predicts higher in-hospital (14.7%) and 30-day mortality (17.3%) in HF patients, with SBPV showing the strongest association (OR: 1.56, 95% CI 1.51-1.62). BPV may serve as a valuable prognostic marker for risk stratification in hospitalized heart failure patients.
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