Department of Nursing, Tokyo Ariake University of Medical and Health Sciences, Tokyo, Japan.
Division of Clinical Medicine, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan.
BMC Geriatr. 2022 Jan 31;22(1):85. doi: 10.1186/s12877-022-02778-1.
Many factors can identify the mortality risks of institutionalized elderly people; among all such factors, body mass index (BMI) and energy intake (EI) can be employed as independent predictors. The objective of this study was to elucidate about the mortality risks and the trajectory of two parameters obtained from continuously monitored data.
This retrospective cohort study targeted 218 elderly people who were admitted to a nursing home for at least 6 months between 2007 and 2020 and passed away at the nursing home. BMI and EI (kcal) per body weight (BW) were continuously measured until death.
BMI continued to decrease for 5 years until death. The rate of change of BMI significantly increased for 3 years before death (P = 0.004). In contrast, the rate of change of EI per BW significantly increased after 1 year before death (P < 0.001); in addition, 2 months before death, this rate of change significantly exceeded that of BMI (P = 0.007). In the four risk groups that were examined, a BMI of <18.0 + EI per BW of <29.2 and a BMI of <17.3 + EI per BW of <28.3 were significantly correlated with a high risk of death (log-rank test: P < 0.001, P = 0.002, respectively). There was no significant difference in the hazard ratio based on the age at the time of admission; however, when EI per BW was <23.8, the risk of death was significantly higher [hazard ratio = 4.36; 95% confidence interval: 2.31-8.24].
Elderly people in the current study presented a tendency toward decreasing BMI starting 60 months prior to death even if EI per BW remained constant. In the 1 year before death, EI per BW rapidly decreased. When the rate of change of EI per BW exceeded the rate of decrease of BMI, it was considered to be the point of no return when death was imminent. Our study showed that identifying mortality risks from the relationship between the trajectories of the two parameters that were continuously measured for several months to years is possible.
许多因素可以识别机构化老年人的死亡风险;在所有这些因素中,体重指数(BMI)和能量摄入(EI)可以作为独立的预测因子。本研究的目的是阐明从连续监测数据中获得的两个参数的死亡风险和轨迹。
这项回顾性队列研究针对 2007 年至 2020 年间至少在养老院居住 6 个月并在养老院去世的 218 名老年人。对每个老年人的 BMI 和 EI(千卡)进行了连续测量。
BMI 在死亡前 5 年内持续下降。死亡前 3 年内 BMI 的变化率显著增加(P = 0.004)。相比之下,死亡前 1 年内,BW 每单位 EI 的变化率显著增加(P < 0.001);此外,在死亡前 2 个月,该变化率显著超过 BMI(P = 0.007)。在检查的四个风险组中,BMI <18.0 + EI/BW <29.2 和 BMI <17.3 + EI/BW <28.3 与高死亡风险显著相关(对数秩检验:P < 0.001,P = 0.002)。入院时年龄的风险比没有显著差异;然而,当 EI/BW <23.8 时,死亡风险显著增加[风险比=4.36;95%置信区间:2.31-8.24]。
即使 BW 每单位 EI 保持不变,本研究中的老年人在死亡前 60 个月就开始出现 BMI 下降的趋势。在死亡前 1 年内,BW 每单位 EI 迅速下降。当 BW 每单位 EI 的变化率超过 BMI 的下降率时,就认为是死亡迫在眉睫的不归点。我们的研究表明,从连续几个月到几年测量的两个参数的轨迹关系来识别死亡风险是可能的。