| Objective To investigate the impact of network communication and big data platform management model on the prognosis of patients with chronic kidney disease(CKD). Methods A total of 850 patients diagnosed with CKD1~3 were selected as the experimental group in the Department of Nephrology of Minhang Hospital affiliated to Fudan University from January 2017 to January 2019. Meanwhile,100 patients diagnosed with CKD1~3 with routine examination and complete data were selected as the control group in the Minhang Gumei Community Hospital of Shanghai. Network communication and big data platform management model were complied in experimental group,and patients in control group were regularly followed up in the community hospital.Blood pressure, blood sugar, glycosylated hemoglobin, renal function, blood lipids, urinary microalbumin levels and number of hospitalizations were detected in the two groups. Results The compliance rates of blood pressure, blood glucose and blood lipid in experimental group were75.06%,50.14% and 78.82% respectively,and those in control group were 32.00%,12.20% and 62.00% respectively,the difference of two groups was statistically significant (P<0.05). CKD progression rate and hospitalization rate in experimental group was 4.82% and 1.41% respectively,which were lower than that of control group, and the difference was statistically significant (P<0.05). The increase of urine microalbumin level in control group was higher than that of experimental group,andthe difference of two groups was statistically significant (P<0.05).Conclusions The network communication and big data platform management model have initially presented a benefit of improved renal function and reduced hospitalization rate for the patients with CKD,whichare worth further improvement and promotion. |
