Rehabilitation of Sepsis Patients with Acute Kidney Injury Based on Intelligent Medical Big Data

Abstract

The objective of this study was to explore rehabilitation of patients with acute kidney injury (AKI) treated with Xuebijing injection by using intelligent medical big data analysis system. Based on Hadoop distributed processing technology, this study designed a medical big data analysis system and tested its performance. Then, this analysis system was used to systematically analyze rehabilitation of sepsis patients with AKI treated with Xuebijing injection. It is found that the computing time of this system does not increase obviously with the increase of cases. The results of systematic analysis showed that the glomerular filtration rate (59.31 ± 3.87% vs 44.53 ± 3.53%) in the experimental group was obviously superior than that in the controls after one week of treatment. The levels of urea nitrogen (9.32 ± 2.21 mmol/L vs. 14.32 ± 0.98 mmol/L), cystatin C (1.65 ± 0.22 mg/L vs. 2.02 ± 0.13 mg/L), renal function recovery time (6.12 ± 1.66 days vs. 8.66 ± 1.17 days), acute physiology and chronic health evaluation system score (8.98 ± 2.12 points vs. 12.45 ± 2.56 points), sequential organ failure score (7.22 ± 0.86 points vs. 8.61 ± 0.97 points), traditional Chinese medicine (TCM) syndrome score (6.89 ± 1.11 points vs. 11.33 ± 1.23 points), and ICU time (16.43 ± 2.37 days vs. 12.15 ± 2.56 days) in the experimental group were obviously lower than those in the controls, and the distinctions had statistical significance ( P < 0.05 ). The significant efficiency (37.19% vs. 25.31%) and total effective rate (89.06% vs. 79.06%) in the experimental group were obviously superior than those in the controls, and distinction had statistical significance ( P < 0.05 ). In summary, the medical big data analysis system constructed in this study has high efficiency. Xuebijing injection can improve the renal function of sepsis patients with kidney injury, and its therapeutic effect is obviously better than that of Western medicine, and it has clinical application and promotion value.

Chinese experts’ consensus on the application of intensive care big data

“…And through direct interaction with electronic medical records, they broadened the way to use big data and provided the right dose for each patient at the right expounded the importance of big data to explore clinical trials systematically and, respectively. In the exploration of big data in the past 2 years, a number of studies have carried out analysis of individualized computational models constructed through big data, pointing out risk factors for high mortality in patients with critical symptoms (31)(32)(33). Finally, in terms of the relationship between clinical drug R&D and big data, we have not seen any evidence that relevant big data is used in drug R&D in the field of critical care medicine.…”

“…The application carrier should be effectively integrated with the hospital information system, which can obtain high-dimensional information in real time, and be equipped with a prediction model. Based on Hadoop distributed processing technology, Xia et al ( 33 ) designed a big data analysis system for intensive care medicine, and conducted a performance test through the “Study on the Effect of Xuebijing on AKI-related Sepsis” ( 33 ). The information system of intensive care big data can integrate ICU high-dimensional information, obtain analysis data in real time, and use it as a carrier for results of intensive care big data such as prediction models and scores ( 151 ).…”

“Three medicines and three formulas” in COVID-19: From bench to bedside

“…A retrospective case series showed that a four-drug combination of Huashi Baidu granules with Xiyanping, Xuebijing, and Shenmai injections was effective for SARS-CoV-2 RNA clearance, promoted lung lesion opacity, and reduced inflammation in severe patients with severe COVID-19 [42] . A clinical study of 640 patients demonstrated that XBJ can improve the renal function of patients with sepsis and kidney injury; its therapeutic effect was considerably stronger than that of Western medicine, demonstrating clinical application value [43] .…”

Retracted: Rehabilitation of Sepsis Patients with Acute Kidney Injury Based on Intelligent Medical Big Data

“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [ 1 ]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process: Discrepancies in scope Discrepancies in the description of the research reported Discrepancies between the availability of data and the research described Inappropriate citations Incoherent, meaningless and/or irrelevant content included in the article Peer-review manipulation …”

“…Tis article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”