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61.
Two hundred and thirty-five tenants living in sheltered housing in Scotland were surveyed to identify the extent of under-nutrition and the social factors which contribute to its development. A validated 24 h recall and the nutrient checklist published by NAGE were used to evaluate patterns of dietary intake. A questionnaire was developed which included scales designed to measure depression, social engagement, cognitive function, mobility and functional ability. The results show considerable evidence of a number of major nutrients in which there were low intakes. In order to express the extent of poor nutrition, a nutrient score was developed where points are awarded based on the number of nutrients falling below the Lower Reference Nutrient Intake, the Estimated Average Requirement or below half the daily Estimated Average Requirement.  相似文献   
62.
糖尿病雄性大鼠性腺5α-还原酶Ⅱ型活性变化   总被引:5,自引:0,他引:5  
目的 :探讨大鼠青春期和成年期糖尿病时性腺 5α 还原酶Ⅱ型的活性变化。 方法 :取 4 0d和 90d龄雄性Wistar大鼠各 30只 ,分别分为对照组 (C)、糖尿病组 (D)和胰岛素治疗糖尿病组 (ID)。采用薄层层析法测定各组附睾头、附睾尾、前列腺和睾丸组织内 5α 还原酶 Ⅱ型的活性。 结果 :①青春期大鼠性腺的各部位内 ,5α 还原酶 Ⅱ 型的活性D组均明显低于C组 (P <0 .0 1) ,而ID组明显高于D组 (P <0 .0 1) ;②成年期大鼠性腺的各部位内 ,5α 还原酶 Ⅱ型的活性在C、D和ID组各组间差异无显著性 (P均 >0 .0 5 )。 结论 :青春期大鼠性腺内 5α 还原酶 Ⅱ型的活性更易受代谢环境、激素水平及局部特异性因素的影响 ,而成年期大鼠性腺内 5α 还原酶Ⅱ 型的活性相对稳定  相似文献   
63.
目的 :观察联合运用功能矫治器和方丝弓矫治器治疗安氏 类错牙合患者的临床效果。方法 :以近 5年来收治的 30例安氏 类错牙合临床患者 ,平均治疗时间 1 8个月 ,治疗前后均拍摄头影测量片 ,将测量结果进行分析比较 ,评价治疗效果。结果 :儿童的上颌磨牙远中移动 ,下颌磨牙近中移动明显 ,儿童颌骨前后垂直关系显著增加。结论 :联合功能矫治器及方丝弓矫治器治疗的安氏 类错牙合有满意的疗效 ,可以相互促进改善患者的软硬组织关系  相似文献   
64.
目的 :探讨人精浆血管紧张素Ⅱ(AngⅡ)对精液常规指标的影响及其与男性不育症的关系。 方法 :通过固相提取 高效液相分离 放免法 (SPE HPLC RIA)测定 4 3例不育男性 (无精子症 13例 ,少弱精子症 8例 ,弱精子症17例 ,精液常规正常 5例 )和 10例正常生育男性对照组的血浆和精浆AngⅡ 。 结果 :精浆AngⅡ 水平明显高于血浆AngⅡ 水平 ,为血浆值的 3倍多 (P <0 .0 1) ;无精子症组精浆AngⅡ 浓度明显高于其他生育与不育男性 (P <0 .0 5 ) ;血浆、精浆AngⅡ与精子密度、活力、存活率、畸形率和精子顶体反应率等均无相关性。 结论 :精浆AngⅡ很可能由男性生殖道局部产生 ,除睾丸、附睾外 ,前列腺和 (或 )精囊也可能是其来源 ;无精子症病人精浆高AngⅡ 水平的原因及精浆AngⅡ在男性生育调节中可能发挥的具体作用 ,还需要进一步研究。  相似文献   
65.
Objectives: This study examines the efficacy of the predicting power for hospital mortality and functional outcome of three different scoring systems for head injury in a neurosurgical intensive care unit (NICU). Design: On the day of admission, data were collected from each patient to compute the Acute Physiology, Age, and Chronic Health Evaluation (APACHE) II and III, and Glasgow Coma Scale (GCS) scores. Hospital mortality was defined as the deaths of patients before discharge from hospital. Early mortality was defined as death before the 14th day after admission. Late mortality was defined as death after the 15th day from admission. Functional outcome was evaluated by Index of Independence in Activities of Daily Living (Index of ADL). Setting: An 8-bed NICU in a 1270-bed medical center in Taichung Veterans General Hospital. Patients and participants: Two hundred non-selected patients with acute head injury were included in our study in a consecutive period of 2 years. Patients less than 14 years old were not included. Interventions: None. Measurements and results: Sensitivity, specificity and correct prediction outcome were measured by the chi-square method in three scoring systems. The Youden index was also obtained. The best cut-off point in each scoring system was determined by the Youden index. The difference in Youden index was calculated by Z score. A difference was also considered if the probability value was less than 0.05. The area under Receiver Operating Characteristic (ROC) curve was computed. Then the area under ROC of each scoring system was compared by Z score. There was statistical significance if p was less than 0.05. For prediction of hospital mortality, the best cut-off points are 55 for APACHE III, 17 for APACHE II and 5 for GCS. The correct prediction outcome is 82.4% in APACHE III, 78.4% in APACHE II and 81.9% in the GCS. The Youden index has best cut-off points at 0.68 for APACHE III, 0.59 for APACHE II, and 0.56 for GCS. The area under Receiver Operating Characteristic (ROC) curve is 0.90 in the APACHE III, 0.84 in the APACHE II and 0.86 in the GCS. There are no statistical differences among APACHE III and II, and GCS in terms of correct prediction outcome, Youden Index and the area under the ROC curve. Other physiological variables excluding GCS in APACHE III and II (AP III-GCS, AP II-GCS) have less statistical value in the determination of mortality for acute head injury. For the prediction of late mortality, APACHE III and II yield significantly better results in the area under the ROC curve, correct prediction and Youden index than those of GCS. Other physiological variables (AP III-GCS and AP II-GCS) play an important role in the prediction of late mortality in APACHE scores. For prediction of the functional outcome of surviving patients with acute head injury, the APACHE III yields the best results of correct prediction outcome, Youden index and the area under the ROC curve. Conclusion: The APACHE III and II may not replace the role of GCS in cases of acute head injury for hospital or early mortality assessment. But for prediction of the late mortality, the APACHE III and II have better accuracy than GCS. Other physiological variables excluding GCS in the APACHE system play a crucial contribution for late mortality. GCS is simple, less time-consuming and economical for patients with acute head injury for the prediction of hospital and early mortality. The APACHE III provides better prediction for severe morbidity than GCS and APACHE II. Therefore, the APACHE III provides a good assessment not only for hospital and late mortality, but also for functional outcome. Received: 22 May 1995 Accepted: 2 September 1996  相似文献   
66.
将BNP和AT-Ⅱ、ACTH AVP单独或BNP与这3种肽分别合并在大鼠icv或iv注入后观察血Ald浓度的变化。实验结果表明:①iv给予AVP(5μg/3ml·h~(-1))、ACTH(5μg/3ml·h~(-1))和AT-Ⅱ(5 v.g/3 ml·h(-1)),1h后均能增加血Ald的浓度。iv给予BNP(5μg/3ml·h(-1))能明显抑制AVP和ACTH的刺激作用,而不影响AT-Ⅱ的刺激作用。②icv给予BNP(2 Vg/10 pl NS)能降低血Aid浓度。icv给予AVP(2μg/10μl NS)能增加血Aid浓度,但ACTH(2μg/10μl NS)和AT-Ⅱ(2μg/10μl NS)无此种作用。但如脑室同时给予BNP(2μg/10μlNS)却可明显刺激Aid分泌。③icv注入BNP对外周注入的3种多肽的刺激作用无任何影响。从上述的实验结果可看出:脑内BNP可“反常”地增加AT-Ⅱ、ACTH和AVP对Ald分泌的刺激作用,与外周抑制AVP,ACTH的刺激作用不同。而脑内BNP不影响这3种多肽的外周刺激作用。结论是脑内BNP以其独特的方式调节Ald的分泌,控制水盐代谢。  相似文献   
67.
目的 探讨影响胸部钝伤住院患者治疗方式的因素,对胸部X线片判读的差异进行分析,作为改进处置胸部钝伤患者的依据及参考。方法 采用回顾性研究方法,收集2004—2006年因胸部钝伤或其外伤合并胸部钝伤,经急诊评估损伤严重指数(ISS)≤15,且对胸部钝伤暂采保守疗法的住院患者共96例(男76例,女20例)。对患者年龄、既往史、ISS、胸部X线片判渎等对治疗方式的影响与关系分为因病情需要改采用手术治疗组和继续采用保守治疗组来比较分析。结果两组在平均年龄、性别、ISS的统计上无差别。影响患者住院期间采用手术治疗的因素有年龄〉65岁(OR,3.14;95%CI,1.21~8.12;P〈0.05);过去有心肺疾病病史(OR,2.85,95%CI,1.24~6.52,P〈0.05);第一次的胸部X线片判读有血胸(OR,3.97;95%CI,1.43~10.98;P=0.015)。结论 年龄〉65岁,有心肺病史、第一次的胸部X线片判读有血胸是胸部钝伤患者在住院后改采用手术治疗的危险因子。有必要住院后追踪胸部X线片。  相似文献   
68.
应用ELISA测定了54例类风湿性关节炎患者、99例非类风湿性关节炎患者以及100例正常人的血清Ⅱ型胶原抗体,结果阳性率分别为90.7%、0、0.54例类风湿性关节炎患者中有7例血清类风湿因子为阴性而Ⅱ型胶原抗体为阳性,且病程均在半年之内。结果表明:Ⅱ型胶原抗体的检测对类风湿性关节炎具有特异性诊断和早期诊断的临床意义。  相似文献   
69.
本研究分析影响慢性髓细胞白血病(CML)患者预后的危险因素。采用回顾性研究分析204例CML患者的临床及实验室检查资料,用Kaplan—Meier法绘制生存曲线,用Logrank检验比较生存率,运用Cox回归模型进行单因素及多因素分析,并分别计算Sokal,Hasford积分。结果表明:204例患者中位生存时间为50(32—65)月,5年生存率32.3%(95%CI,23.7%-42.6%)。干扰素组与羟基脲组的中位生存时间分别为56(41—67)月和41(19—56)月,5年生存率分别为45.4%(95%CI,37.5%-54.2%)和26.8%(95%CI,21.6%-33.3%)(P〈0.001)。经Cox回归分析,Ph染色体阴性、乳酸脱氢酶含量增高、外周血嗜碱性粒细胞≥10%、出现有核红细胞、骨髓原粒细胞≥4%、骨髓原始+早幼粒细胞≥10%和红细胞压积降低是CML预后不良的危险因素,而治疗方法也是影响CML预后的重要因素。羟基脲组经Sokal积分检验,高危组占72.9%,中危组占21.5%,而低危组占5.6%,中位生存时间分别为34(23—49)月、43(32—58)月、50(38—62)月;干扰素组经Hasford积分检验,高危组占17.6%,中危组占25.1%,低危组占57.3%,中位生存时间分别为44(33—57)月、56(45—70)月和66(52—76)月。结论:Ph染色体、乳酸脱氢酶含量、红细胞压积、外周血嗜碱性粒细胞、出现有核红细胞、骨髓原始和早幼粒细胞以及治疗方法是影响CML预后的重要因素。以Sokal积分系统评价羟基脲组患者不能很好区分危险组,而Hasford积分系统评价干扰素组患者,能够区分危险组。  相似文献   
70.
AIMS: To assess the performance of a risk score comprising data routinely available in general practice records (age, gender, body mass index, family history of diabetes, smoking habits and prescribed anti-hypertensive drugs or steroids) in detecting diabetes, impaired glucose tolerance and metabolic syndrome. METHODS: In a population-based, cross-sectional study in a semi-rural general practice in Jutland, Denmark, Cambridge Risk Scores were calculated for 1355 patients without known diabetes (69% response rate) who completed questionnaires and underwent anthropometric measurement and an oral glucose tolerance test. RESULTS: Prevalences of diabetes, impaired glucose tolerance and metabolic syndrome were 2.29% (95% CI: 1.56-3.23), 6.64% (95% CI: 5.38-8.10) and 13.4% (95% CI: 11.5-15.2), respectively. Area under the ROC curve for the risk score and diabetes was 83.8% (75.9-91.7) and for metabolic syndrome [European Group for the Study of Insulin Resistance (EGIR)] was 78.1% (74.6-81.6). Twenty per cent of the population had a risk score above 0.246; at this threshold the sensitivity to detect diabetes was 71.0% (53.4-83.9), the specificity 81.2% (79.0-83.2), positive predictive value 8.1% (6.6-10.0) and likelihood ratio 3.77 (2.94-4.85). For metabolic syndrome (EGIR) corresponding values for sensitivity were 50.3% (43.1-57.5), specificity 84.7% (82.5-85.6), positive predictive value 33.6% (28.2-39.4), and likelihood ratio 3.28 (2.69-4.00). CONCLUSIONS: Undiagnosed hyperglycaemia and metabolic syndrome are common. The Cambridge Risk Score is a practical first step in a screening procedure to identify individuals with these disorders who might benefit from diagnostic testing or to direct preventive interventions.  相似文献   
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