前瞻性护理干预在急性心力衰竭患者中的应用

目的探讨前瞻性护理干预在急性心力衰竭患者中的应用效果。方法选取2018年4月—2020年5月河南省某医院收治的122例急性心力衰竭患者为研究对象,采用随机数字表法分为观察组与对照组,每组61例。对照组患者采用常规护理,观察组患者采用前瞻性护理,比较2组患者的干预效果、并发症发生情况,干预前后焦虑自评量表(SAS)、抑郁自评量表(SDS)评分及护理满意度。结果观察组患者干预总有效率为95.08%,高于对照组的75.41%,差异有统计学意义(χ²=9.385,P=0.002)。观察组患者并发症发生率为3.28%,低于对照组的18.03%,差异有统计学意义(χ²=6.974,P=0.008)。2组患者干预后SAS及SDS评分均低于干预前,且观察组低于对照组,差异均有统计学意义(P<0.05)。观察组患者护理满意度为98.36%,高于对照组的86.89%,差异有统计学意义(χ²=4.319,P=0.038)。结论前瞻性护理干预用于急性心力衰竭患者,有助于改善患者负性情绪及减少并发症的发生。     

荔枝草治疗急性咽炎有效部位筛选＊

目的 筛选荔枝草治疗急性咽炎的有效部位，研究治疗急性咽炎的作用机制，为荔枝草资源的药食两用开发提供理论依据。方法 通过二甲苯致小鼠耳肿胀试验筛选荔枝草抗炎有效部位，采用氨水刺激喉部法建立大鼠急性咽炎模型，通过行为学观察、ELISA双抗夹心检测、病理形态学观察和咽部组织蛋白表达研究乙酸乙酯部位对大鼠急性咽炎的治疗效果。结果 荔枝草乙酸乙酯提取物对二甲苯致小鼠耳肿胀有明显的抑制作用，氨水刺激建立的急性咽炎模型符合急性咽炎动物模型特征，乙酸乙酯部位提取物可显著改善急性咽炎大鼠的咽部病理形态学表现。不同剂量治疗组大鼠血清及咽部组织中IL-1β、IL-6及TNF-α炎性因子数量均下降，高剂量组下降最为明显。荔枝草乙酸乙酯提取物可明显增加大鼠咽部组织IκBα蛋白表达，降低NF-κBp65蛋白表达。结论 荔枝草乙酸乙酯部位提取物对急性咽炎具有治疗作用，可能与抑制咽部炎症病理改变的发生，能调节血液中炎症因子、抑制NF-κB表达和IκBα解离有关。     

Risk as a pattern over time: Delineation of time-dependent risk factors in biological,psychological, and social variables in cancer patients

Background

Survival in cancer patients is associated with a multitude of biological, social, and psychological factors. Although it is well established that all these factors add to overall mortality, it is not well understood how the predictive power of these parameters changes in a comprehensive model and over time.

Methods

Patients who attended the authors’ outpatient clinic were invited to participate. The authors followed 5180 mixed cancer patients (51.1% female; mean age, 59.1 years [SD = 13.8]) for up to 16 years and analyzed biological (age, sex, cancer site, anemia), psychological (anxiety, depression), and social variables (marital status, education, employment status) potentially predicting overall survival in a Cox proportional hazards model.

Results

The median survival time for the entire sample was 4.3 years (95% confidence interval, 4.0–4.7). The overall survival probabilities for 1 and 10 years were 76.8% and 38.0%, respectively. Following an empirical approach, the authors split the time interval into five periods: acute, subacute, short-term, medium-term, and long-term. A complex pattern of variables predicted overall survival differently in the five periods. Biological parameters were important throughout most of the time, social parameters were either time-independent predictors or tended to be more important in the longer term. Of the psychological parameters, only depression was a significant predictor and lost its predictive power in the long-term.

Conclusions

The findings of this study allow the development of comprehensive patient-specific models of risk and resilience factors addressing biopsychosocial needs of cancer patients, paving the way for a personalized treatment plan that goes beyond biomedical cancer care.