Objective To explore the relationship between traditional Chinese medicine (TCM) syndromes of state of evil domination and clinical and laboratory indicators of IgA nephropathy. Methods A prospective study was used to collect data on clinical and laboratory examination of IgA nephropathy in multi clinical centers. Patients’ TCM syndrome types were determined according to the national diagnostic criteria at the same time. Totally 266 patients with IgA nephropathy were included in the study to establish a database for analyzing the relationship between TCM syndrome of state of evil domination and clinical and laboratory indicators. Results In the relationship between syndromes of state of evil domination distribution and clinical subtypes, patients of wind-heat syndrome had more macroscopic hematuria;patients of phlegm-damp syndrome had more nephrotic syndrome;patients of damp-heat syndrome had more chronic nephritis type Ⅰ;patients of blood stasis syndrome had more chronic nephritis type Ⅱ. In the relationship between syndrome of state of evil domination distribution and clinical manifestation, the incidence of hypertension was higher in patients of blood stasis syndrome than in other three types. It was more serious for hematuresis in the patients of wind-heat syndrome. For patients of phlegm-damp syndrome, the incidence of heave proteinuria was highest. In the relationship between syndrome of state of evil domination distribution and laboratory examination, 24-hour urinary protein quantification was higher than in patients of wind-heat and damp-heat syndrome, but the level of blood albumin was lowest. For patients of blood stasis syndrome, serum creatinine level was significantly higher than in other three types;the level of eGFR was just the opposite. The levels of blood cholesterol and triglyceride in patients of phlegm-damp syndrome were higher than in other three types. The activated partial thromboplastin time (APTT) levels in patients of blood stasis and phlegm-damp syndrome were lower than in other patients, but the FIB level was the exact opposite of APTT. In the relationship between syndrome of state of evil domination distribution and the stages of chronic kidney disease (CKD), patients of wind-heat syndrome were more in the first stage of CKD;patients of blood stasis syndrome were more in the third stage of CKD. Conclusion There is relative correlation between TCM syndromes of state of evil domination and clinical and laboratory indicators in IgA nephropathy, which would provide some reference to narrow the gap in the information of the four methods of TCM with clinical and laboratory indicators to enhance accurate diagnosis of TCM syndrome.

Objective:To construct the evaluation index system of peritoneal dialysis nursing quality, so as to provide a basis for management and evaluation of peritoneal dialysis nursing quality.Methods:Through literature review and expert interviews, the peritoneal dialysis nursing quality evaluation index system (draft) was initially determined on the evidence-based basis. The expert letter questionnaire was designed, and indexes of nursing quality evaluation were screened and revised by Delphi expert letter questionnaire and boundary value method. The analytic hierarchy process was used to determine the weight of evaluation indexes, and the evaluation system of the peritoneal dialysis nursing quality index was established.Results:The expert response rates of 2 rounds of questionnaires were 91.43% and 85.71%, and the expert authority coefficients of the 2 rounds were respectively 0.838 0 and 0.862 2, and the coordination coefficients of the first, second and third levels of indexes of the second round were respectively 0.643, 0.431 and 0.283 ( P<0.01) . The final evaluation index system included 3 first-level indicators, 18 second-level indicators and 84 third-level indicators. Conclusions:The evaluation index system of peritoneal dialysis nursing quality has good reliability and applicability. After further verification, it can be used as an evaluation tool of peritoneal dialysis nursing quality management.