Impact of Thromboprophylaxis Intensity on Patients' Mortality Among Hospitalized Patients with COVID-19: A Propensity-Score Matched Study

被引:1
|
作者
Almohareb, Sumaya N. [1 ,2 ,3 ]
Al Yami-, Majed S. [1 ,2 ,3 ]
Assiri, Ahmed M. [4 ]
Almohammed, Omar A. [5 ,6 ]
机构
[1] King Saud bin Abdulaziz Univ Hlth Sci, Coll Pharm, Dept Pharm Practice, Riyadh, Saudi Arabia
[2] King Abdul Aziz Med City, Dept Clin Pharm, Riyadh, Saudi Arabia
[3] King Abdullah Int Med Res Ctr, Minist Natl Guard Hlth Affairs, Riyadh, Saudi Arabia
[4] Minist Hlth, Hlth Volunteering Ctr, Riyadh, Saudi Arabia
[5] King Saud Univ, Coll Pharm, Dept Clin Pharm, POB 2457, Riyadh 11451, Saudi Arabia
[6] King Saud Univ, Coll Pharm, Pharmacoecon Res Unit, Riyadh, Saudi Arabia
来源
CLINICAL EPIDEMIOLOGY | 2022年 / 14卷
关键词
COVID-19; venous thromboembolism; anticoagulation; thromboprophylaxis; mortality; VENOUS THROMBOEMBOLISM; ANTICOAGULATION;
D O I
10.2147/CLEP.S359132
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Purpose: Venous thromboembolism (VTE), a major complication that has been reported in patients with COVID-19, is associated with an increased risk of mortality. The purpose of this study was to compare in-hospital mortality among hospitalized patients with COVID-19 who received high-intensity versus standard-intensity thromboprophylactic anticoagulation. Patients and Methods: A secondary database analysis was conducted using data for adult patients who were hospitalized for COVID-19 in Saudi Arabia and received enoxaparin for thromboprophylaxis during their hospitalization. While enoxaparin 40 mg daily is considered the standard-intensity, doses higher than the standard but not to reach the therapeutic dose were considered as high-intensity. The primary outcome in the study was in-hospital mortality, and the secondary outcomes included intensive care unit (ICU) and hospital length of stay. Chi-square and t-tests were used to assess the difference between the two independent groups, and propensity score matching was performed to adjust for baseline characteristics. Results: From 3508 patients who received high- or standard-intensity enoxaparin, 1422 patients, 711 in each group, were included in the analyses after propensity score matching. The mean age of the participants was 57.2 years, and around 30% of them were female. About 72% of the patients were admitted to the ICU. No difference was observed between the two groups in the in-hospital mortality outcome (36% vs 33.5% in the high-intensity and the standard group, respectively; RR=1.06, 95% CI 0.95-1.18). However, patients who received high-intensity thromboprophylaxis had a significantly longer duration of hospitalization (15.6 days vs 13.6 days; p=0.003) and ICU stay (12.3 days vs 10.8 days; p=0.039) compared to patients who received the standard dose. Conclusion: The use of high-intensity thromboprophylaxis was not associated with a reduction in mortality. Therefore, our results do not support the routine use of high-intensity prophylactic anticoagulation in both ICU and non-ICU patients with COVID-19.
引用
收藏
页码:361 / 368
页数:8
相关论文
共 50 条
  • [1] Atorvastatin Effect on COVID-19 Outcomes: A Propensity Score Matched Study on Hospitalized Patients
    Pourhoseingholi, Mohamad Amin
    Yazdani, Omid
    Looha, Mehdi Azizmohammad
    Safavi-Naini, Seyed Amir Ahmad
    Esbati, Romina
    Ilkhani, Saba
    Taraghikhah, Nazanin
    Hatamabadi, Hamidreza
    Sadeghi, Amir
    Heidari, Kamran
    Namazi, Negarsadat
    Asadimanesh, Naghmeh
    Hatari, Saba
    Shahrokh, Shabnam
    Solhpour, Ali
    Jamialahmadi, Tannaz
    Santos, Raul D.
    Sahebkar, Amirhossein
    CURRENT MEDICINAL CHEMISTRY, 2024,
  • [2] Gastrointestinal bleeding in hospitalized COVID-19 patients: a propensity score matched cohort study
    Trindade, A. J.
    Izard, S.
    Coppa, K.
    Hirsch, J. S.
    Lee, C.
    Satapathy, S. K.
    JOURNAL OF INTERNAL MEDICINE, 2021, 289 (06) : 887 - 894
  • [3] Curbing COVID-19 progression and mortality with traditional Chinese medicine among hospitalized patients with COVID-19: A propensity score-matched analysis
    Tseng, Yu-Hwei
    Lin, Sunny Jui-Shan
    Hou, Sheng-Mou
    Wang, Chih-Hung
    Cheng, Shun-Ping
    Tseng, Kung-Yen
    Lee, Ming-Yung
    Lee, Shen-Ming
    Huang, Yi-Chia
    Lin, Chien-Jung
    Lin, Chi-Kuei
    Tsai, Tsung-Lung
    Lin, Chen-Shien
    Cheng, Ming-Huei
    Fong, Tieng-Siong
    Tsai, Chia-I.
    Lu, Yu-Wen
    Lin, Jung-Chih
    Huang, Yi-Wen
    Hsu, Wei-Chen
    Kuo, Hsien-Hwa
    Wang, Li-Hsiang
    Liaw, Chia-Ching
    Wei, Wen-Chi
    Tsai, Keng-Chang
    Shen, Yuh-Chiang
    Chiou, Wen-Fei
    Lin, Jaung-Geng
    Su, Yi-Chang
    PHARMACOLOGICAL RESEARCH, 2022, 184
  • [4] Invasive Ventilation and Increased COVID-19 Mortality: A Propensity-Score Matched Retrospective Cohort Study
    Parish, A. J.
    West, J. R.
    Caputo, N. D.
    Zhang, J.
    Singer, D.
    AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2021, 203 (09)
  • [5] Early administration of remdesivir may reduce mortality in hospitalized COVID-19 patients A propensity score matched analysis
    Karolyi, Mario
    Kaltenegger, Lukas
    Pawelka, Erich
    Kuran, Avelino
    Platzer, Moritz
    Totschnig, David
    Koenig, Franz
    Hoepler, Wolfgang
    Laferl, Hermann
    Omid, Sara
    Seitz, Tamara
    Traugott, Marianna
    Arthofer, Sigrun
    Erlbeck, Lea
    Jaeger, Stefan
    Kettenbach, Alina
    Assinger, Alice
    Wenisch, Christoph
    Zoufaly, Alexander
    WIENER KLINISCHE WOCHENSCHRIFT, 2022, 134 (23-24) : 883 - 891
  • [6] Cancer history is an independent risk factor for mortality in hospitalized COVID-19 patients: a propensity score-matched analysis
    Yifan Meng
    Wanrong Lu
    Ensong Guo
    Jia Liu
    Bin Yang
    Ping Wu
    Shitong Lin
    Ting Peng
    Yu Fu
    Fuxia Li
    Zizhuo Wang
    Yuan Li
    Rourou Xiao
    Chen Liu
    Yuhan Huang
    Funian Lu
    Xue Wu
    Lixin You
    Ding Ma
    Chaoyang Sun
    Peng Wu
    Gang Chen
    Journal of Hematology & Oncology, 13
  • [7] Cancer history is an independent risk factor for mortality in hospitalized COVID-19 patients: a propensity score-matched analysis
    Meng, Yifan
    Lu, Wanrong
    Guo, Ensong
    Liu, Jia
    Yang, Bin
    Wu, Ping
    Lin, Shitong
    Peng, Ting
    Fu, Yu
    Li, Fuxia
    Wang, Zizhuo
    Li, Yuan
    Xiao, Rourou
    Liu, Chen
    Huang, Yuhan
    Lu, Funian
    Wu, Xue
    You, Lixin
    Ma, Ding
    Sun, Chaoyang
    Wu, Peng
    Chen, Gang
    JOURNAL OF HEMATOLOGY & ONCOLOGY, 2020, 13 (01)
  • [8] Clinical characteristics, outcomes, and risk factors for mortality in hospitalized patients with COVID-19 and cancer history: a propensity score-matched study
    Majid Sorouri
    Amir Kasaeian
    Helia Mojtabavi
    Amir Reza Radmard
    Shadi Kolahdoozan
    Amir Anushiravani
    Bardia Khosravi
    Seyed Mohammad Pourabbas
    Masoud Eslahi
    Azin Sirusbakht
    Marjan Khodabakhshi
    Fatemeh Motamedi
    Fatemeh Azizi
    Reza Ghanbari
    Zeynab Rajabi
    Ali Reza Sima
    Soroush Rad
    Mohammad Abdollahi
    Infectious Agents and Cancer, 15
  • [9] Clinical characteristics, outcomes, and risk factors for mortality in hospitalized patients with COVID-19 and cancer history: a propensity score-matched study
    Sorouri, Majid
    Kasaeian, Amir
    Mojtabavi, Helia
    Radmard, Amir Reza
    Kolahdoozan, Shadi
    Anushiravani, Amir
    Khosravi, Bardia
    Pourabbas, Seyed Mohammad
    Eslahi, Masoud
    Sirusbakht, Azin
    Khodabakhshi, Marjan
    Motamedi, Fatemeh
    Azizi, Fatemeh
    Ghanbari, Reza
    Rajabi, Zeynab
    Sima, Ali Reza
    Rad, Soroush
    Abdollahi, Mohammad
    INFECTIOUS AGENTS AND CANCER, 2020, 15 (01)
  • [10] Outcomes of Upper Gastrointestinal Bleeding in Hospitalized COVID-19 Patients in the United States: A Propensity-score Matched Analysis of a Large National Database
    Ryu, Moon
    Quazi, Mohammed
    Ghosh, Niloy
    Gangu, Karthik
    Sohail, Amir H.
    Farooq, Asif
    Maringanti, Babu S.
    Goyal, Aman
    Patel, Anupa
    Khan, Muhammad S.
    Sheikh, Abu B.
    JOURNAL OF COMMUNITY HOSPITAL INTERNAL MEDICINE PERSPECTIVES, 2024, 14 (02):