Frigola-Capell E, Comin-Colet J, Davins-Miralles J, Gich-Saladich I, Wensing M, Verdú-Rotellar J M
Radboud University Nijmegen Medical Centre, Scientific Institute for Quality of Healthcare, The Netherlands, Instituto Universitario Avedis Donabedian FAD, Universitat Autònoma de Barcelona, Spain, Red de investigación en servicios de salud en enfermedades crónicas REDISSEC, Spain.
Rev Clin Esp (Barc). 2013 Jan-Feb;213(1):1-7. doi: 10.1016/j.rce.2012.10.006. Epub 2012 Dec 22.
Little is known on predictors of hospitalisation in ambulatory patients with chronic heart failure, and known predictors may not apply to Mediterranean countries. Our aim was to document longitudinal trends in hospitalisations and identify patient-related predictors of hospital admission, re-admission and length of stay in the targeted population.
Population-based retrospective cohort study in Catalonia (North-East Spain), including 7196 ambulatory patients (58.6% women; mean age 76 years). Eligible patients were selected from the electronic patient records of primary care practices, and followed for 3 years.
At 3 years of follow up overall 645 (9.0%) patients had cardiovascular hospitalisation, 37% were readmitted, and median length of stay was 9 (interquartile range 5-17) days. Chronic kidney disease [odds ratio (OR)=1.98 (1.62-2.43)], IHD [OR=1.72 (1.45-2.04)], DM [OR=1.50 (1.27-1.78)] and chronic obstructive pulmonary disease [OR=1.43 (1.16-1.77)] increased the risk for hospitalisation. DM [OR=1.70 (1.22-2.38)], IHD [OR=1.85 (1.33-2.58)] and HTA [OR=1.66 (1.11-2.46)] increased the risk for readmissions. Chronic kidney disease [OR of 2.21 (1.70-2.90)], IHD [OR of 2.19 (1.73-2.77)], DM [OR=1.70 (1.34-2.15)], HTA [OR=1.51 (1.13-2.01)], chronic obstructive pulmonary disease [OR=1.37 (1.02-1.83)] increased the risk for long length of stay in hospital.
Our study identified predictors of hospitalisation, readmissions and long length of stay which can help clinicians and managers to identify high risk patients which should be targeted on service planning and when designing preventive actions.
对于慢性心力衰竭门诊患者住院的预测因素了解甚少,而且已知的预测因素可能不适用于地中海国家。我们的目的是记录住院情况的纵向趋势,并确定目标人群中与患者相关的住院、再次住院及住院时间的预测因素。
在加泰罗尼亚(西班牙东北部)进行基于人群的回顾性队列研究,纳入7196名门诊患者(女性占58.6%;平均年龄76岁)。符合条件的患者从初级保健机构的电子病历中选取,并随访3年。
在3年的随访中,共有645名(9.0%)患者因心血管疾病住院,37%的患者再次入院,住院时间中位数为9天(四分位间距5 - 17天)。慢性肾病[比值比(OR)=1.98(1.62 - 2.43)]、缺血性心脏病[OR = 1.72(1.45 - 2.04)]、糖尿病[OR = 1.50(1.27 - 1.78)]和慢性阻塞性肺疾病[OR = 1.43(1.16 - 1.77)]增加了住院风险。糖尿病[OR = 1.70(1.22 - 2.38)]、缺血性心脏病[OR = 1.85(1.33 - 2.58)]和高血压[OR = 1.66(1.11 - 2.46)]增加了再次入院风险。慢性肾病[OR为2.21(1.70 - 2.90)]、缺血性心脏病[OR为2.19(1.73 - 2.77)]、糖尿病[OR = 1.70(1.34 - 2.15)]、高血压[OR = 1.51(1.13 - 2.01)]、慢性阻塞性肺疾病[OR = 1.37(1.02 - 1.83)]增加了住院时间延长的风险。
我们的研究确定了住院、再次住院及住院时间延长的预测因素,这有助于临床医生和管理人员识别高危患者,以便在服务规划和制定预防措施时将其作为目标人群。