Texas Heart Institute at St. Luke's Episcopal Hospital, 6770Bertner Avenue, Houston, TX 77030, USA.
J Card Fail. 2010 Mar;16(3):268-74. doi: 10.1016/j.cardfail.2009.11.004. Epub 2010 Jan 6.
Low body temperature is an independent predictor of poor prognosis in patients with congestive heart failure. The cardiomyopathic hamster develops progressive biventricular dysfunction, resulting in heart failure death at 9 months to 1 year of life. Our goal was to use cardiomyopathic hamsters to examine the relationship between body temperature and heart failure decompensation and death.
To this end, we implanted temperature and activity transducers with telemetry into the peritoneal space of 46 male Bio-TO-2 Syrian cardiomyopathic hamsters. Multiple techniques, including computing mean temperature, frequency domain analysis, and nonlinear analysis, were used to determine the most useful method for predicting poor prognosis. Data from 44 hamsters were included in our final analysis. We detected a decline in core body temperature in 98% of the hamsters 8+/-4 days before death (P < .001). We examined the dominant frequency of temperature variation (ie, the circadian rhythm) by using cosinor analysis, which revealed a significant decrease in the amplitude of the body temperature circadian rhythm 8 weeks before death (0.28 degrees C; 95% CI, 0.26-0.31) compared to baseline (0.36 degrees C; 95% CI, 0.34-0.39; P=.005). The decline in the circadian temperature variation preceded all other evidence of decompensation.
We conclude that a decrease in the amplitude of the body temperature circadian rhythm precedes fatal decompensation in cardiomyopathic hamsters. Continuous temperature monitoring may be useful in predicting preclinical decompensation in patients with heart failure and in identifying opportunities for therapeutic intervention.
低体温是充血性心力衰竭患者预后不良的独立预测因子。心肌病仓鼠会出现进行性双心室功能障碍,导致 9 个月至 1 岁时心力衰竭死亡。我们的目标是使用心肌病仓鼠来研究体温与心力衰竭失代偿和死亡之间的关系。
为此,我们将带有遥测功能的温度和活动传感器植入 46 只雄性 Bio-TO-2 叙利亚心肌病仓鼠的腹腔内。我们使用了多种技术,包括计算平均体温、频域分析和非线性分析,以确定预测不良预后的最有效方法。最终分析包括 44 只仓鼠的数据。我们发现 98%的仓鼠在死亡前 8+/-4 天体温下降(P <.001)。我们通过余弦分析检查了体温变化的主导频率(即昼夜节律),结果显示,与基线相比(0.36°C;95%CI,0.34-0.39;P=.005),死亡前 8 周体温昼夜节律的振幅显著降低(0.28°C;95%CI,0.26-0.31)。体温昼夜节律的下降先于所有其他失代偿的证据。
我们得出结论,体温昼夜节律振幅的降低先于心肌病仓鼠致命性失代偿。连续体温监测可能有助于预测心力衰竭患者的临床前失代偿,并为治疗干预提供机会。