[1] |
LEI Jing, MAN Qiuhong, ZHAO Renjia, ZHANG Tiejun, JIANG Yanfeng, XU Kelin, SUO Chen, CHEN Xingdong.
Elevated red blood cell distribution width increasing the risk of heart failure:a cohort study based on the UK Biobank
[J]. Laboratory Medicine, 2023, 38(9): 860-864.
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[2] |
GUO Jie, LI Haixia, LI Xiaoyun.
Correlation of preoperative RPR in peripheral blood with the prognosis of endometrial carcinoma patients
[J]. Laboratory Medicine, 2023, 38(7): 675-679.
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[3] |
DUAN Yong, WANG Yong, ZHANG Yumin, ZENG Haitao, LIU Qing.
Predictive value of red blood cell distribution width for in-hospital mortality in ICU patients with heart failure:a retrospective study based on the MIMIC-Ⅲ database
[J]. Laboratory Medicine, 2023, 38(10): 951-956.
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[4] |
MA Jianguo, ZHU Xiaolin, DING Yongguang, YIN Meng, LI Hongchun.
Predictive values of red blood cell distribution width and myocardial markers for acute myocardial infarction in patients with CAS
[J]. Laboratory Medicine, 2022, 37(12): 1164-1168.
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[5] |
GUO Ping, ZHUANG Lihua, CHEN Liting, WANG Jianbiao, WU Jianfeng.
Roles of MCV,RDW and SAA in the progression of chronic hepatitis B
[J]. Laboratory Medicine, 2020, 35(11): 1153-1157.
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[6] |
WANG Jing, ZHENG Qun, JIN Xiaxia, LU Guoguang, SHEN Bo.
Role of RDW combined determination with NLR in ankylosing spondylitis
[J]. Laboratory Medicine, 2019, 34(8): 704-709.
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[7] |
MA Zhengyao, GUO Wei, PAN Baishen, WANG Beili.
Relationship between serum uric acid and red blood cell parameters in hyperuricemia patients
[J]. Laboratory Medicine, 2019, 34(6): 486-490.
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[8] |
LIU Guoxiong, LIU Yong, LIU Yunli, ZHANG Liwen, XIE Xinyue.
Reference intervals of venous blood cell parameters of healthy Tibetan adults in Hongyuan county
[J]. Laboratory Medicine, 2019, 34(5): 437-440.
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[9] |
CHEN Lijun, GAO Dandan, Lü Qianwen, XU Wei.
Role of red blood cell distribution width and monocyte to lymphocyte ratio in ankylosing spondylitis
[J]. Laboratory Medicine, 2019, 34(12): 1124-1127.
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[10] |
DING Ning, CHEN Changqiang, FAN Qishi.
Correlations of RDW and TB with coronary heart disease and the extent of coronary atherosclerosis
[J]. Laboratory Medicine, 2019, 34(10): 889-893.
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[11] |
SHEN Huiying, LIN Xiaoyi, YANG Hui, ZHENG Jianxin.
Performance of CellaVision DM96 automated image analysis system for determining red blood cell morphological abnormalities
[J]. Laboratory Medicine, 2018, 33(5): 428-430.
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[12] |
CHEN Shiwei, YE Zhicheng, FU Pan, LI Wei, YANG Dan, XU Jin.
Reference ranges of biochemical determination items for children's kidney function in Shanghai
[J]. Laboratory Medicine, 2018, 33(10): 884-887.
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[13] |
HE Hailin, CHEN Jianhong, ZHONG Zeyan, YANG Kunxiang, GUAN Zhiyang, ZHONG Guoxing, DONG Hui.
Efficiency of red blood cell parameter formulas for the differential diagnosis of iron-deficiency anemia and beta-thalassemia trait in children
[J]. Laboratory Medicine, 2018, 33(10): 913-915.
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[14] |
LIU Jinxiang, DING Yong, CAO Cuiyun, PAN Yan.
Standard for judging the morphology of urinary red blood cells
[J]. Laboratory Medicine, 2017, 32(7): 582-585.
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[15] |
GU Meixiu, MENG Zhimin, TANG Wenjia, LUO Lei, WANG Chong, GUO Wei, PAN Baishen, WANG Beili.
Establishment and evaluation on the microscopy rule for nucleated red blood cell by SYSMEX XN-9000 automatic hematology analyzer
[J]. Laboratory Medicine, 2017, 32(6): 531-534.
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