Integrative HD Vascular Access Assessment

Background The effectiveness of hemodialysis (HD) depends on HD vascular access (HVA). Individualized prevention based on TCM constitutions can help persons to restore balance and prevent disease. To prevent the negative development of HVA and maintain HVA patency, development of an integrative model of HVA should be an important issue in nephrological nursing. To establish an integrative healthcare model of HVA, the understanding of the relationships between the common TCM constitution patterns of HD patients and the functions of HVA must be improved. In traditional Chinese medicine (TCM), health is conceived as a balance among the elements of the body. Published articles revealed that vascular access surgery, hemodynamic disorder and HD might impact HVA and the microcirculation of HD patients. Hence, changes of hand microcirculation might may come with and indicate the degeneration of HVA. Purpose The aims of this two-year study are as follows. 1. To identify major risk factors for the functions of HVA. 2. To measure the microcirculation and constitutions of HD patients. 3. To explore associations among risk factors for the functions of HVA, TCM constitutions and the characteristics of nail-fold capillaries. 4. To propose an HVA assessment model. Patient The adult ESRD patients have HD in two hospitals in the north of Taiwan Data collection Following approval by the Institutional Review Board, all eligible adult ESRD patients having HD in two hospitals in the north of Taiwan will be invited to participate in the study, after its requirements have been clearly explained to them. Medical record review, measurements of microcirculation, and TCM constitutions questionnaires, will be used to collect data of eligible patients who provide informed consent. Demographics, comorbidities, concurrent medication, histories of HVA and HD, parameters related to the adequacy of dialysis, and blood biochemistry data will be retrieved retrospectively from nursing and medical records and entered into a database. The TCM constitution of participants will be measured by questionnaires. Before dialysis, nail-fold microcirculation will be noninvasively measured using a vediocapillaroscopic device (MC-380, Computed Microcirculation System, Kowa Optics Corp., Taiwan). The equipment and measuring procedures will be explained to the subjects. A finger to be examined will be gently placed on a microscope base plate and held still for the duration of the measurement. Computerized image processing will be used to capture and analyze data. The following morphological data will be extracted: blood velocity, capillary density, capillary width, capillary length, and the presence of abnormal capillary morphology.To identify the common microcirculation patterns of HD patients, images of nail-fold capillary will be processed use a framework that was developed by Prof. K. P. Lin and colleagues. Statistical analysis All of the collected data will be entered into a database. The Statistical Package for the Social Sciences for Windows (SPSS Inc, Chicago, Ill) was used to perform statistical analyses. Baseline demographics, comorbidities, medication, the results of blood biochemistry tests, and parameters that are related to HD adequacy and access function are presented as means, standard deviation and proportions as appropriate. Associations between parameters regarding vascular access dysfunction and the other variables were analyzed using the t-test, one-way analysis of variance, and Pearson's correlation coefficients, as appropriate. P\<0.05 was considered to indicate statistical significance. Information regarding the function of HVA will be incomplete if some patients do not experience any HVA dysfunction for the duration of this study. Hence,techniques for censored and truncated data will be used to deal with the incomplete data. Regressions and appropriate survival analysis will be conducted to capture the distribution of the function of HVA, and to identify the independent predictors of HVA function. In this study, a novel hybridizing data mining techniques will be applied to reduce data uncertainty. The HD-index that was developed by Prof. K. Y. Huang will be used to filter out uncertain data and to improve the precision of the forecasting model.