Predictors of thirst in intensive care unit patients.
Predictors of thirst in intensive care unit patients.
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DOI：
10.1016/j.jpainsymman.2014.07.001
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发表时间：
2015-03
影响因子：
4.7
通讯作者：
Puntillo KA
中科院分区：
文献类型：
--
作者：
Stotts NA;Arai SR;Cooper BA;Nelson JE;Puntillo KA
口渴是重症监护病房(ICU)患者普遍存在的一种强烈而令人痛苦的症状。虽然口渴可以避免和/或治疗，但几乎没有数据可以帮助提供者确定最需要的患者。这项研究旨在确定ICU患者口渴的存在、强度和痛苦的预测因素。这项描述性横断面研究纳入了来自三个ICU(内科-外科、心脏和神经科)的353名患者。为了衡量结果，患者被要求报告是否存在口渴(是/否)，如果存在，则在0到10个数字分级量表上对其强度和痛苦程度进行评级(10=最差)。预测变量包括人口统计变量(如年龄)、与治疗有关的变量(如阿片类药物)和生物变量(如全身水分)。对数据进行Logistic回归和截断回归分析，α预置为0.05。高阿片类药物剂量(≥50 mg)、高剂量速尿(>；60 mg)、选择性5-羟色胺再摄取抑制剂和低离子钙可预测口渴的存在。口渴强度是由没有接受口服液和有胃肠道(GI)诊断的患者预测的。口渴是通过机械通气、液体负平衡、降压药物以及胃肠道或其他诊断来预测的。口渴的出现是通过选定的药物(如阿片类药物)来预测的。口渴强度和/或口渴窘迫可通过其他治疗方法(如机械通风)和医疗诊断(如胃肠疾病)来预测。这是首批描述口渴多维特征预测因素的研究之一。临床医生可以使用这些数据来针对那些口渴可能需要治疗的ICU患者。
Thirst is a pervasive, intense, and distressing symptom in intensive care unit (ICU) patients. Although thirst may be avoided and/or treated, scant data are available to help providers identify patients most in need. This study was designed to identify predictors of the presence, intensity, and distress of thirst in ICU patients. This descriptive cross-sectional study enrolled 353 patients from three ICUs (medical-surgical, cardiac, and neurological). To measure outcomes, patients were asked to report the presence of thirst (yes/no) and, if present, to rate its intensity and distress on zero to 10 numeric rating scales (10 = worst). Predictor variables were demographic (e.g., age), treatment-related (e.g., opioids), and biological (e.g., total body water). Data were analyzed with logistic regression and truncated regression with alpha preset at 0.05. Thirst presence was predicted by high opioid doses (≥50 mg), high furosemide doses (>60 mg), selective serotonin reuptake inhibitors, and low ionized calcium. Thirst intensity was predicted by patients not receiving oral fluid and having a gastrointestinal (GI) diagnosis. Thirst distress was predicted by mechanical ventilation, negative fluid balance, antihypertensive medications, and a GI or “other” diagnosis. Thirst presence was predicted by selected medications (e.g., opioids). Thirst intensity and/or thirst distress were predicted by other treatments (e.g., mechanical ventilation) and medical diagnoses (e.g., GI). This is one of the first studies describing predictors of the multidimensional characteristics of thirst. Clinicians can use these data to target ICU patients whose thirst might warrant treatment.
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影响因子：
8.8
作者：
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通讯作者：
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