Wakahara Toshitatsu, Shiraki Makoto, Murase Kayoko, Fukushima Hideki, Matsuura Katsuhiko, Fukao Ayumi, Kinoshita Sachiko, Kaifuku Naoko, Arakawa Naoe, Tamura Takashi, Iwasa Junpei, Murakami Nobuo, Deguchi Takashi, Moriwaki Hisataka
Department of Internal Medicine, Gifu University School of Medicine, Gifu, Japan.
Nutrition. 2007 Sep;23(9):634-9. doi: 10.1016/j.nut.2007.06.005. Epub 2007 Jul 13.
Nutritional status is an important factor that determines hospital stay, and the Subjective Global Assessment (SGA) is a candidate tool for nutritional screening on admission. However, the significance of the SGA has not been evaluated well in the ward for digestive diseases. We conducted the present study to test whether the SGA predicts hospital stay of these patients.
Two hundred sixty-two patients with digestive diseases were consecutively enrolled between July 2004 and April 2005. They consisted of 145 males and 117 females and included 110 patients with cancer. Disease category was gastrointestinal in 94, hepatic in 111, and biliary/pancreatic in 57. The SGA was performed by a certified dietician. Effects of SGA and other nutritional parameters on hospital stay were examined by simple and multiple regression analysis.
Among tested variables, simple regression analysis identified the SGA, disease category, presence of malignancy, serum albumin level, percent triceps skinfold thickness, and percent arm muscle circumference as significant predictive parameters for hospital stay. Multiple regression analysis revealed that the SGA had the best predictive power, followed by the presence of malignancy and disease category.
The SGA is a simple and reliable predictor for hospital stay in patients with digestive diseases.
营养状况是决定住院时间的一个重要因素，主观全面评定法（SGA）是入院时营养筛查的一个备选工具。然而，SGA在消化系统疾病病房中的意义尚未得到充分评估。我们开展本研究以检验SGA是否能预测这些患者的住院时间。
2004年7月至2005年4月连续纳入262例消化系统疾病患者。其中男性145例，女性117例，包括110例癌症患者。疾病类别为胃肠道疾病94例，肝脏疾病111例，胆胰疾病57例。SGA由一名认证营养师进行。通过简单回归分析和多元回归分析检验SGA及其他营养参数对住院时间的影响。
在测试变量中，简单回归分析确定SGA、疾病类别、恶性肿瘤的存在、血清白蛋白水平、三头肌皮褶厚度百分比和上臂肌肉周长百分比为住院时间的显著预测参数。多元回归分析显示，SGA具有最佳预测能力，其次是恶性肿瘤的存在和疾病类别。
SGA是消化系统疾病患者住院时间的一个简单可靠的预测指标。
