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首页> 外文期刊>Journal of cardiac failure >Decreasing body temperature predicts early rehospitalization in congestive heart failure.
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Decreasing body temperature predicts early rehospitalization in congestive heart failure.

机译:体温下降预示着充血性心力衰竭的早期住院治疗。

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BACKGROUND: In congestive heart failure (CHF), a low body temperature at hospital admission predicts in-hospital mortality. We hypothesized that a postdischarge reduction in body temperature predicts early CHF rehospitalization and death. METHODS: We reviewed the records of 198 patients discharged after CHF hospitalization. We categorized the patients as hypothermic or normothermic (cutoff point, 36.3 degrees C/97.4 degrees F) according to body temperature at discharge. We classified the 2 groups according to the direction of temperature change between discharge and the first follow-up visit: normothermicon-decreasing temperature (N+), normothermic/decreasing temperature (N-), hypothermicon-decreasing temperature (H+), and hypothermic/decreasing temperature (H-). RESULTS: Ninety-three patients (47%) had decreasing temperatures, and 105 patients (53%) had non-decreasing temperatures. Kaplan-Meier analysis revealed a significant intergroup difference in survival (P = .01) and rehospitalization time (P = .005). On logistic regression, a decreasing temperature was significantly associated with rehospitalization within 180 days (odds ratio, 4.01; 95% confidence interval, 1.63-10.02; P = .003). On Cox regression, the hazard ratios for death were 3.19 (P = .07), 6.49 (P = .004), and 5.17 (P = .07), for the N-, H+, and H- groups, respectively, versus the N+ group. For rehospitalization time, the hazard ratios were 7.02 (P = .01), 4.24 (P = .08), and 13.43 (P = .005) for the N-, H+, and H- groups, respectively, versus the N+ group. CONCLUSION: Decreasing body temperatures can predict readmission, decreased time to rehospitalization, and (in combination with hypothermia) decreased survival.
机译:背景:在充血性心力衰竭(CHF)中,入院时体温低可预测住院死亡率。我们假设放电后体温降低预示着CHF会再次住院和死亡。方法:我们回顾了198例CHF住院后出院的患者的记录。我们根据出院时的体温将患者分为体温过低或体温过低(临界点36.3摄氏度/97.4华氏度)。我们根据放电和第一次随访之间的温度变化方向将两组分为:常温/不降温(N +),常温/不降温(N-),低温/不降温(H +)。 ,以及低温/降温(H-)。结果:93例患者(47%)体温下降,105例患者(53%)体温不降低。 Kaplan-Meier分析显示,组间生存率(P = .01)和重新住院时间(P = .005)有显着差异。经逻辑回归分析,温度下降与180天内的住院治疗显着相关(赔率,4.01; 95%置信区间,1.63-10.02; P = 0.003)。根据Cox回归,N-,H +和H-组的死亡风险比分别为3.19(P = .07),6.49(P = .004)和5.17(P = .07) N +组。就住院时间而言,与N +组相比,N-,H +和H-组的危险比分别为7.02(P = .01),4.24(P = .08)和13.43(P = .005)。 。结论:降低体温可以预测再次入院,减少再次住院的时间,以及(与体温过低相结合)降低生存率。

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