Vigna Luisella, Brunani Amelia, Agnelli Gianna Maria, Ingenito Maria Rosaria, Tomaino Silvia, Consonni Dario, Capodaglio Paolo, Donini Lorenzo Maria
Occupational Health Unit, Clinica del Lavoro "L. Devoto", Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Division of Rehabilitation Medicine, IRCCS Istituto Auxologico Italiano, San Giuseppe Hospital, 28921, Verbania, Italy.
Eat Weight Disord. 2018 Dec;23(6):871-876. doi: 10.1007/s40519-018-0595-x. Epub 2018 Oct 24.
To allocate obese patients to the correct therapeutic setting, the Italian Obesity Society (SIO) has suggested a new algorithm based on the Edmonton obesity staging system (EOSS). The aim of our study was to apply in two retrospective cohorts of obese patients both the EOSS and the activities of daily life (ADL) scale to identify also their rehabilitation needs.
288 out-patients and 298 in-patients were recruited. All patients were evaluated with a multidisciplinary approach and the mental, mechanical, and metabolic comorbidities were scored.
The 2 groups differed for gender (28.8% men in out-patients, p = 0.001), age (> 60 years in in-patients, p = 0.03), BMI (40.8 ± 6.3 kg/m in in-patients, p < 0.001), and ADL (44.0 ± 16.0 in in-patients, p < 0.001). EOSS distribution was significant different: stages 0 and 1 were more present in out-patients and stages 3 and 4 in in-patients. In both groups, BMI increased significantly in EOSS category [95% CI + 1.4 (+ 0.5; + 2.2) for out-patients and + 1.7 (+ 0.7; + 2.6) for in-patients] and ADL were positively correlated with EOSS [95% CI + 5.0 (+ 2.5; + 7.4) for out-patients and + 9.9 (+ 7.7; + 12.2) for in-patients]. Mean ADL difference between the two groups, adjusted for age (over/under 60 years), BMI category, and EOSS was 24.8 (p < 0.0001).
SIO algorithm seems an effective tool for staging obesity in relation to the clinical impairment. To better define the correct rehabilitative allocation of obese patients, we suggest to integrate the SIO algorithm with the ADL score.
Level III, retrospective case-control analytic study.
为了将肥胖患者分配到正确的治疗环境中,意大利肥胖协会(SIO)提出了一种基于埃德蒙顿肥胖分期系统(EOSS)的新算法。我们研究的目的是在两组肥胖患者的回顾性队列中应用EOSS和日常生活活动(ADL)量表,以确定他们的康复需求。
招募了288名门诊患者和298名住院患者。所有患者均采用多学科方法进行评估,并对精神、机械和代谢合并症进行评分。
两组在性别(门诊患者中男性占28.8%,p = 0.001)、年龄(住院患者中>60岁,p = 0.03)、体重指数(住院患者中为40.8±6.3kg/m²,p < 0.001)和ADL(住院患者中为44.0±16.0,p < 0.001)方面存在差异。EOSS分布有显著差异:门诊患者中0期和1期较多,住院患者中3期和4期较多。在两组中,EOSS类别中体重指数均显著增加[门诊患者95%CI为+1.4(+0.5;+2.2),住院患者为+1.7(+0.7;+2.6)],且ADL与EOSS呈正相关[门诊患者95%CI为+5.0(+2.5;+7.4),住院患者为+9.9(+7.7;+12.2)]。调整年龄(60岁以上/以下)、体重指数类别和EOSS后,两组之间的平均ADL差异为24.8(p < 0.0001)。
SIO算法似乎是一种根据临床损伤对肥胖进行分期的有效工具。为了更好地确定肥胖患者正确的康复分配,我们建议将SIO算法与ADL评分相结合。
III级,回顾性病例对照分析研究。