上海中医药大学附属岳阳中西医结合医院肾内科 上海 200437
贾蒙,女,在读博士生
# 王怡,女,博士,主任医师,博士生导师,E-mail:drwangyi0110@126.com
纸质出版日期:2023-07-30,
收稿日期:2022-09-26,
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贾蒙, 韩世盛, 王怡. 417例原发性肾小球肾炎患者标实证辨证影响因素的Logistic回归分析[J]. 现代中医临床, 2023,30(4):42-48.
JIA Meng, HAN Shisheng, WANG Yi. Logistic regression analysis of influencing factors of syndrome differentiation in 417 patients with primary glomerulonephritis[J]. Modern Chinese Clinical Medicine, 2023,30(4):42-48.
贾蒙, 韩世盛, 王怡. 417例原发性肾小球肾炎患者标实证辨证影响因素的Logistic回归分析[J]. 现代中医临床, 2023,30(4):42-48. DOI: 10.3969/j.issn.2095-6606.2023.04.009.
JIA Meng, HAN Shisheng, WANG Yi. Logistic regression analysis of influencing factors of syndrome differentiation in 417 patients with primary glomerulonephritis[J]. Modern Chinese Clinical Medicine, 2023,30(4):42-48. DOI: 10.3969/j.issn.2095-6606.2023.04.009.
目的
2
基于Logistic回归分析探讨原发性肾小球肾炎患者标实证辨证影响因素。
方法
2
对417例上海中医药大学附属岳阳中西医结合医院肾内科、上海中医药大学附属龙华医院肾内科、上海中医药大学附属第七人民医院肾内科住院,并行活检病理检查的原发性肾小球疾病患者进行回顾性研究,采用无序多分类Logistic回归相关性分析,分析原发性肾小球疾病标实证与肾脏病理组织学病变和生化指标等35项自变量之间的相关性。
结果
2
无标实证患者184例,标实证(含标实合并证)233例,水湿证患者156例,湿热证患者65例,血瘀证患者9例。以无标实证为对照,水湿证的辨证影响因素为:24 h尿蛋白定量(
P
<
0.05),呈正相关;血红蛋白(
P
<
0.05),呈负相关;血清白蛋白(
P
<
0.05),呈负相关。湿热证的辨证影响因素为血清白蛋白(
P
<
0.05),呈负相关。血瘀证的辨证影响因素为肾小球细胞增殖程度积分(
P
<
0.05),呈正相关。
结论
2
原发性肾小球肾炎患者水湿证辨证影响因素为24 h尿蛋白定量、血红蛋白、血清白蛋白,湿热证辨证影响因素为血清白蛋白,血瘀证辨证影响因素为肾小球细胞增殖程度积分。
Objective
2
To investigate the influencing factors of standard empirical syndrome differentiation in patients with primary glomerulonephritis using logistic regression analysis.
Methods
2
A retrospective study was conducted on 417 patients with primary glomerular disease who were admitted to the Department of Nephrology at Yueyang Hospital of Integrated Traditional Chinese and Western Medicine affiliated to Shanghai University of Traditional Chinese Medicine
the Department of Nephrology at Longhua Hospital affiliated to Shanghai University of Traditional Chinese Medicine
and the Department of Nephrology at the Seventh People’s Hospital affiliated to Shanghai University of Traditional Chinese Medicine for concurrent biopsy and pathological examination. Random multiclass logistic regression correlation analysis was used to analyze the correlation between 35 independent variables such as primary glomerular disease markers and renal histopathological changes and biochemical indicators.
Results
2
There were 184 patients with non-standard empirical evidence
233 with standard empirical evidence (including combined standard empirical evidence)
156 with water dampness syndrome
65 with dampness heat syndrome
and 9 with blood stasis syndrome. Those with non-standard empirical evidence were used as a control
and the influencing factors of water dampness syndrome differentiation are: 24-hour urine protein quantification (
P
<
0.05)
showing a positive correlation
hemoglobin (
P
<
0.05)
negatively correlated
serum albumin (
P
<
0.05)
showing a negative correlation. The influencing factor of dampness heat syndrome differentiation is serum albumin (
P
<
0.05)
which is negatively correlated. The influencing factor of blood stasis syndrome differentiation is the integral of glomerular cell proliferation degree (
P
<
0.05)
which is positively correlated.
Conclusion
2
The influencing factors for the differentiation of water dampness syndrome in patients with primary glomerulonephritis are 24-hour urine protein quantification
hemoglobin
and serum albumin. The influencing factor for the differentiation of dampness heat syndrome is serum albumin
while the influencing factor for the differentiation of blood stasis syndrome is the degree of glomerular cell proliferation integral.
原发性肾小球疾病中医证候标实证肾脏病理生化指标
primary glomerular diseaseTCM syndrome typesstandard empirical evidencerenal pathologybiochemical indicators
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