红细胞分布宽度与急性胰腺炎严重程度的研究

目的研究外周血红细胞分布宽度(RDW)对急性胰腺炎AP严重程度评估的价值。方法收集2017年1月-2019年3月在首都医科大学大兴医院收治的急性胰腺炎(AP)患者266例,按疾病严重程度分为重症急性胰腺炎(SAP)组、中重症急性胰腺炎(MSAP)组、轻症急性胰腺炎(MAP),并纳入相同例数的健康体检者作为对照组,收集患者的一般资料及RDW进行统计分析。结果急性胰腺炎(AP)组与对照组之间RDW差异具有有统计学意义(P<0.05);SAP患者的RDW水平明显高于非SAP患者;RDW(P <0.05,OR=3.378)是急性胰腺炎的一项独立危险因素;ROC曲线预测AP及SAP曲线下面积分别为0.712及0.840。结论 RDW水平是评估急性胰腺炎严重程度及预后的一项有效指标。     

增生性瘢痕无创性评估策略及方法

增生性瘢痕是皮肤遭遇创伤后,因细胞外基质异常沉积、过度纤维化造成的皮肤病理现象。对于瘢痕诊断、临床疗效判定及比较研究,临床上使用的客观且可靠的瘢痕评判方法具有关键作用。我们就增生性瘢痕的评估、测量方式及工具的研究进展进行综述。     

宫血宁在药流后出血的临床观察

药物流产后出血时间长一直是临床难以解决的问题，为缩短药流后出血时间，我们采取宫血宁治疗本症，取得满意效果。本文就宫血宁胶囊治疗药流后出血作一临床观察，现将结果报道如下。     

UHPLC-MS/MS测定人血浆中美托洛尔的含量

目的 建立测定人血浆中美托洛尔含量的UHPLC-MS/MS分析方法。方法 采用Agilent RRHD PLUS C₁₈色谱柱（2.1 mm×50 mm,1.8 μm）,0.2%甲酸水溶液-乙腈（68∶32）为流动相。质谱采用电喷雾离子源（ESI）,多反应监测（MRM）,检测离子为正离子,分别选择m/z 268/116、237/194作为美托洛尔和内标（卡马西平）的检测离子对。结果 血浆中美托洛尔在1.012~759.0 ng·mL^-1内线性关系良好（r=0.999 2）。高、中、低浓度美托洛尔的基质效应分别为105.9%,106.1%,106.9%;平均回收率分别为83.0%,99.3%,95.2%。批内精密度RSD≤3.22%,批间精密度RSD≤4.14%。结论 该方法简便、灵敏、快速、准确,适用于血浆中美托洛尔的含量测定。     

El Registro de Gemelos de Murcia. Un recurso para la investigación sobre conductas relacionadas con la salud

Genetically informative designs and, in particular, twin studies, are the most widely used methodology to analyse the relative contribution of genetic and environmental factors to inter-individual variability. These studies basically compare the degree of phenotypical similarity between monozygotic and dizygotic twin pairs. In addition to the traditional estimate of heritability, this kind of registry enables a wide variety of analyses which are unique due to the characteristics of the sample. The Murcia Twin Registry is population-based and focused on the analysis of health-related behaviour. The observed prevalence of health problems is comparable to that of other regional and national reference samples, which guarantees its representativeness. Overall, the characteristics of the Registry facilitate developing various types of research as well as genetically informative designs, and collaboration with different initiatives and consortia.     

Trace and evaluation systems for health services quality in rural and remote areas: a systematic review

Aim

To provide a systematic review of the existing theory, framework, systems and instruments for tracing and evaluating quality in rural health services.

Subjects and methods

We searched six electronic databases up to March 2016. Observational studies of quality assessment of rural health services using theoretical models were included. Ekman’s scale was used to evaluate the quality of the included studies.

Results

A total of 18 studies, published between 2001 and 2015, met the inclusion criteria. The corresponding authors for most of them (7, 44%) are from Chinese institutions and three (3, 17%) from Australian institutions. Five studies (28%) focused on township hospitals. Primary health care quality was reported in five studies (28%), followed by clinical service in four (22%). More than half of the studies (61%) were considered of high quality, and the remainder was of moderate quality. These studies applied 16 theoretical systems, including the model/pattern (4, 25%), method/tool (7, 44%) and framework of the theory (5, 31%). Most of the theoretical models (14, 88%) obtained positive observations. In addition, the conceptual model (6, 36%) and TOPSIS method (2, 13%) were more frequently reported.

Conclusion

Although most of the current studies were considered to have high-quality and positive results, there were limitations in the number of publications and research on theoretical systems. The lacks of unified standards and comprehensive evaluation are important issues that need to be pointed out and resolved.

     

Categorical and anti-categorical approaches to US racial/ethnic groupings: revisiting the National 2009 H1N1 Flu Survey (NHFS)

Intersectionality theory calls for the understanding of race/ethnicity, sex/gender and class as interlinked. Intersectional analysis can contribute to public health both through furthering understanding of power dynamics causing health disparities, and by pointing to heterogeneities within, and overlap between, social groups. The latter places the usefulness of social categories in public health under scrutiny. Drawing on McCall we relate the first approach to categorical and the second to anti-categorical intersectionality. Here, we juxtapose the categorical approach with traditional between-group risk calculations (e.g. odds ratios) and the anti-categorical approach with the statistical concept of discriminatory accuracy (DA), which is routinely used to evaluate disease markers in epidemiology. To demonstrate the salience of this distinction, we use the example of racial/ethnic identification and its value for predicting influenza vaccine uptake compared to other conceivable ways of organizing attention to social differentiation. We analyzed data on 56,434 adults who responded to the NHFS. We performed logistic regressions to estimate odds ratios and computed the area under the receiver operating characteristic curve (AU-ROC) to measure DA. Above age, the most informative variables were education and household poverty status, with race/ethnicity providing minor additional information. Our results show that the practical value of standard racial/ethnic categories for making inferences about vaccination status is questionable, because of the high degree of outcome variability within, and overlap between, categories. We argue that, reminiscent of potential tension between categorical and anti-categorical perspectives, between-group risk should be placed and understood in relationship to measures of DA, to avoid the lure of misguided individual-level interventions.