Jingrong NIU, Lijin ZHANG, Wenshuang YANG. Risk factors of venous thromboembolism in postmenopausal women without neoplasms and establishment of the prediction model[J]. Journal of Third Military Medical University, 2020, 42(22): 2224-2230.
DOI:
Jingrong NIU, Lijin ZHANG, Wenshuang YANG. Risk factors of venous thromboembolism in postmenopausal women without neoplasms and establishment of the prediction model[J]. Journal of Third Military Medical University, 2020, 42(22): 2224-2230. DOI: 10.16016/j.1000-5404.202005211.
Risk factors of venous thromboembolism in postmenopausal women without neoplasms and establishment of the prediction model
To explore the risk factors and establish a prediction model of venous thromboembolism (VTE) in postmenopausal women without neoplasms.
Methods
2
A total of 268 postmenopausal women w
ith suspected VTE without neoplasms admitted to our department from May 2018 to December 2019 were divided into VTE group (
n
=42) and non-VTE group (
n
=226) based on color Doppler ultrasound findings. The clinical data of the 2 groups were analyzed by univariate and multivariate logistic regression analysis to identify the risk factors of VTE. The prediction model was established based on the identified risk factors and evaluated for its sensitivity
specificity
area under the receiver-operating characteristic (ROC) curve
=0.047) as the risk factors for VTE in postmenopausal women without neoplasms. Based on these risk factors
the prediction model for VTS was derived: Prob=1/(e^
-Y
)
where Y=36.578-2.729×combined diabetes-2.046×Caprini score-2.361×serum D-dimer-0.975×serum TG-0.431×serum LH-0.152×serum E
2
. ROC curve analysis showed that this prediction model had an AUC of 0.915 with a sensitivity of 90.30% and a specificity of 94.10%. The verification results showed that this model had an accuracy of 88.43% for predicting VTE in postmenopausal women without neoplasms.
Conclusion
2
Diabetes
a Caprini sc
ore ≥5
a D-dimer level
>
0.5 mg/L
a TG level
>
1.7 mmol/L
a LH level
>
52.3 U/L
and an E
2
level
<
30 nmol/L are all risk factors of VTE in postmenopausal women without neoplasms. The predictive model constructed based on these risk factors can effectively assess the risk of VTE in these women.
LI C, XIE Y L, SU N, et al . Analysis of related indexes of bone mineral density and body composition of women in perimenopause and postmenopause in Chongqing area[J ] . Chin J Osteopor, 2019, 25(12): 1765-1781. DOI: 10.3969/j.issn.1006-7108.2019.12.020.
ZHANG J, LIU M L. Menopausal hormone therapy and cardiovascular disease prevention and treatment[J]. Chin J Cardiol, 2020, 48(03): 259-262. DOI: 10.3760/cma.j.cn112148-20190815-00495.
SCARABIN P Y.Progestogens and venous thromboembolism in menopausal women: an updated oral versus transdermal estrogen meta-analysis[J]. Climacteric, 2018, 21(4): 341-345. DOI: 10.1080/13697137.2018.1446931.
OLIVER-WILLIAMS C, GLISIC M, SHAHZAD S, et al . The route of administration, timing, duration and dose of postmenopausal hormone therapy and cardiovascular outcomes in women: a systematic review[J ] . Hum Reprod Update, 2019, 25(2): 257-271. DOI: 10.1093/humupd/dmy039.
袁光华.超声诊断基础与临床检查规范[M].北京:科学技术文献出版社, 2005: 243-252.
YUAN G H. Ultrasound diagnosis basic and clinical examination specifications[M]. Beijing: Science and Technology Literature Press, 2005: 243-252.
SHI H R, LI X R, JIA Y Y. Menopausal hormone therapy and arteriovenous thromboembolic diseases[J]. Acta Metallurgica Sinica, 2020, 36(03): 224-227. DOI: 10.19538/j.fk2020030110.
QIU R F, LIU M G. The preventive effect of vitamin E on deep vein thrombosis inperimenopausal women[J]. Chin J Gerontol, 2010, 30(8): 1046-1048. DOI: 10.3969/j.issn.1005-9202.2010.08.012.
SHEN L, SONG L, LI H, et al . Association between earlier age at natural menopause and risk of diabetes in middle-aged and older Chinese women:The Dongfeng-Tongji cohort study[J ] . Diabetes Metab, 2017, 43(4): 345-350. DOI: 10.1016/j.diabet.2016.12.011.
LEBLANC E S, KAPPHAHN K, HEDLIN H, et al . Reproductive history and risk of type 2 diabetes mellitus in postmenopausal women: findings from the Women's Health Initiative[J ] . Menopause, 2017, 24(1): 64-72. DOI: 10.1097/gme.0000000000000714.
MAUVAIS-JARVIS F, MANSON J E, STEVENSON J C, et al . Menopausal hormone therapy and type 2 diabetes prevention: evidence, mechanisms, and clinical implications[J ] . Endocr Rev, 2017, 38(3): 173-188. DOI: 10.1210/er.2016-1146.
WEN J B, YANG S, ZHAO X H, et al . Effect of menopausal status on onset of impaired fasting glucose and type 2 diabetes mellitus[J ] . Chin J Prev Med, 2017, 51(8): 728-733. DOI: 10.3760/cma.j.issn.0253-9624.2017.08.013.
YIN L J, WANG X H. Research advance in the effects of androgen and its receptor on the development of obesity, obesity-related diseases and disorders of glucose and lipid metabolism[J]. Acta Physiol Sin, 2018, 70(3): 319-328. DOI: 10.13294/j.aps.2018.0018.
TANAKA S, HISHIKI M, OGASAWARA J, et al . The deterioration of the glycemic profile during hormone replacement therapy in a patient with fulminant type 1 diabetes[J ] . Intern Med, 2017, 56(5): 531-534. DOI: 10.2169/internalmedicine.56.7663.
LI Q L, GAN X N, LI Y, et al . Comparison of predictivepower for PICC-related venous thromboembolism among cancer patients ofautar DVT risk assessment scale and caprini risk assessment scale[J ] . J Nurs China, 2019, 26(22): 1-5. DOI: 10.16460/j.issn1008-9969.2019.22.001.
LI Q L, TIAN L, FU T Y, et al . Effectiveness analysis ofCaprini risk assessment model for predicting the occurrence of VTE in pa tients undergoing abdominal surgery[J ] . J North China Univ Tech (Med Ed), 2019, 21(02): 102-110. DOI: 10.19539/j.cnki.2095-2694.2019.02.004.
ZHOU J X, DAI J L, SONG J. Effectiveness of Caprini thrombosis risk assessment model in predicting the risk of deep vein thrombosis in patients with lung cancer[J]. J Dalian Med Univ, 2020, 42(01): 21-26. DOI: 10.11724/jdmu.2020.01.05.jdmu.2020.01.05.
LI H P, MAI J X, LI X M, et al . Diagnostic value ofCaprini risk assessment model combined with D-dimer in perioperative hysterectomy for venous thromboembolic diseases[J ] . Chin J Postgrad Med, 2020, 43(7): 639-642. DOI: 10.3760/cma.j.cn115455-20200115-00069.
RAHIMINEJAD M, RASTOGI A, PRABHUDESAI S, et al . Evaluating the use of a negative D-dimer and modified low wells score in excluding above knee deep venous thrombosis in an outpatient population, assessing need for diagnostic ultrasound[J ] . ISRN Radiol, 2014, 2014: 1-5. DOI: 10.1155/2014/519875.
Group ofVascular Surgery, Chinese Medical Association Surgery Branch. Guidelines for the diagnosis and treatment of deep vein thrombosis (third edition)[J]. Chin J Vasc Surg, 2017, 04: 201-208. DOI: 10.3760.cma.j.issn.2096-1863.2017.04.002.
AUGEREAU P, PATSOURIS A, BOURBOULOUX E, et al .Hormonoresistance in advanced breast cancer: a new revolution in endocrine therapy[J ] . Ther Adv Med Oncol, 2017, 9(5): 335-346. DOI: 10.1177/1758834017693195.
MIAO Y, FU Y J, SONG F X, et al . Effects of estrogen replacement therapy on the endocrine axis function of endocrine disorder women[J ] . Prog Mod Biomed, 2019, 19(15): 2941-2944;2924. DOI: 10.13241/j.cnki.pmb.2019.15.032
NIE G N, YANG H Y, LIU J, et al . A multi-center clinical epidemiological investigation on changes of blood lipids in perimenopausal women[J ] . Matern Child Heal Care China, 2017, 32(24): 6208-6211.
ESCALANTE C, MORA S, BOLAÑOS L. Hormone replacement therapy reduces lipid oxidation directly at the arterial wall: a possible link to estrogens'cardioprotective effect through atherosclerosis prevention[J]. J Mid-life Health, 2017, 8(1): 11. DOI: 10.4103/0976-7800.201967.