代谢性酸中毒
负离子间隙
医学
酸中毒
代谢性碱中毒
基数超额
碱中毒
呼吸性碱中毒
酸碱失衡
动脉血气分析
酸碱平衡
动脉血
呼吸性酸中毒
内科学
基础(拓扑)
数学
数学分析
作者
Jingfang Zhai,Zijian Wu,Jiebin Wu,Bin Zhou
出处
期刊:PubMed
[National Institutes of Health]
日期:2020-08-01
卷期号:32 (8): 976-981
标识
DOI:10.3760/cma.j.cn121430-20200217-00186
摘要
OBJECTIVE: To judge the type of acid-base balance disorder automatically according to the results of arterial blood gas analysis by using the IF function editing formula in an Excel spreadsheet. METHODS: ↓ should be calculated to determine whether there was metabolic alkalosis or metabolic acidosis with normal AG. The results of arterial blood gas analysis were judged by using the editing formula of IF function in Excel 2003 spreadsheet. A total of 96 patients admitted to the department of intensive care unit (ICU) of Xuzhou Central Hospital were enrolled. According to the results of arterial blood gas analysis, the type of acid-base imbalance of patients was judged by both artificial judgment (artificial group) and Excel spreadsheet automatic judgment (Excel spreadsheet group). The artificial group was composed by 2 associate chief physicians from neonatal intensive care unit (NICU) and 1 attending respiratory physician. If the results were inconsistent, the decision should be made after discussion. In the Excel spreadsheet group, data were input by one NICU attending physician and checked by another. The differences in the results and the time spent in judging the type of acid-base imbalance between the two groups were compared. RESULTS: and compensation time limited into the Excel spreadsheet for blood gas analysis. Data analyses of 96 patients showed that the accuracy of using Excel spreadsheets to automatically determine the type of acid-base imbalance was higher than artificial group, but there was no statistically significant difference between the two groups [normal and simple acid-base imbalance: 100% (26/26) vs. 100% (26/26), mixed acid-base imbalance: 100% (51/51) vs. 96.08% (49/51), TABD: 100% (19/19) vs. 89.47% (17/19), all P > 0.05], and it took less time to judge the results of blood gas analysis by the Excel spreadsheet group compared with the artificial group (s: normal and simple acid-base imbalance: 31.13±4.70 vs. 74.20±16.53, mixed acid-base imbalance: 31.59±5.49 vs. 138.10±22.26, TABD: 30.98±5.40 vs. 308.40±78.12, all P < 0.01). CONCLUSIONS: The automatic judging Excel spreadsheet with blood gas analysis can quickly and accurately determine the type of acid-base imbalance in arterial blood gas analysis.
科研通智能强力驱动
Strongly Powered by AbleSci AI