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首页> 外文期刊>Journal of Pharmacy and Bioallied Sciences >Risk factors for hospital readmission of patients with heart failure: A cohort study
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Risk factors for hospital readmission of patients with heart failure: A cohort study

机译:医院入院患者心力衰竭患者的危险因素:队列研究

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The aim of this study was to develop a risk factor model for hospital readmission in patients with heart failure.Background:Identification of risk factors and predictors of readmission to hospital in patients with heart failure is very crucial for improved clinical outcomes.Objective:The objective of the current study was to investigate and delineate the risk factors that may be implicated in putting a patient at greater risk of readmission due to uncontrolled heart failure.Materials and Methods:This is a prospective follow-up cohort study of 170 patients with heart failure at a tertiary hospital in Al Ain city in the United Arab Emirates. We have developed a risk factor model based on the recommendations of validated published data. We have used univariate and multivariate logistic regression analyses on structured steps based on the published data. The main outcome was the risk factors for readmission to hospital due to heart failure.Results:A final predictive model (10 variables) was produced for unplanned readmission of patients with heart failure. The risk factors identified in the final model with their odds ratios (ORs) and confidence intervals (CIs) were as follows: four or more prescribed medicines (OR = 4.13; CI = 3.5–4.1; P = 0.003), more than twice daily dosing regimen (OR = 2.34; CI = 1.0–5.0; P = 0.023), poor knowledge of prescribed medications (OR = 4.24; CI = 1.213–14.781; P = 0.006), diabetes mellitus (OR = 3.78; CI = 1.6–8.7; P = 0.006), edema (OR = 2.64; CI = 1.2–5.6; P = 0.011), being house bound (OR = 2.77; CI = 1.2–6.2; P = 0.014), and being prescribed diuretics (OR = 3.69; CI = 1.4–9.2; P = 0.042).Conclusion:The specificity of the developed risk prediction model was 82.2%, the sensitivity was 74.3%, and the overall accuracy was 72.9%. The model can be emulated in population with similar characteristics to prevent early readmission of patient with heart failure.
机译:本研究的目的是为心灵衰竭患者的医院入院开发危险因素模型。留下患者识别心力衰竭患者入院的危险因素和预测因素对于改善临床结果来说是至关重要的。目的:目标目前的研究是调查和描绘可能涉及患者由于不受控制的心力衰竭而导致患者的风险因素。材料和方法:这是170例心力衰竭患者的前瞻性后续队列研究在阿拉伯联合酋长国Al Ain市的一家高等医院。我们基于验证已发布数据的建议开发了风险因素模型。我们使用了基于已发布数据的结构化步骤的单变量和多变量逻辑回归分析。主要结果是由于心力衰竭导致医院入院的危险因素。结果:为心力衰竭的患者的无计划患者制作了最终预测模型(10个变量)。最终模型中鉴定的危险因素及其大量比率(或者)和置信区间(CIS)如下:四种或更多规定的药物(或= 4.13; CI = 3.5-4.1; p = 0.003),每天超过两次给药方案(或= 2.34; ci = 1.0-5.0; p = 0.023),规定药物的知识差(或= 4.24; ci = 1.213-14.781; p = 0.006),糖尿病(或= 3.78; ci = 1.6- 8.7; p = 0.006),水肿(或= 2.64; ci = 1.2-5.6; p = 0.011),被房屋绑定(或= 2.77; ci = 1.2-6.2; p = 0.014),并处方的利尿剂(或= 3.69; CI = 1.4-9.2; P = 0.042)。结论:发育风险预测模型的特异性为82.2%,敏感性为74.3%,总体精度为72.9%。该模型可以在具有相似特征的人群中仿真,以防止心力衰竭早期患者。

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