Abstract
Introduction
Venous thromboembolism (VTE) is a leading cause of cardiovascular morbidity and mortality. The majority of VTE events are hospital‐associated. In 2008, the Epidemiologic International Day for the Evaluation of Patients at Risk for Venous Thromboembolism in the Acute Hospital Care Setting (ENDORSE) multinational cross‐sectional study reported that only approximately 40% of medical patients at risk of VTE received adequate thromboprophylaxis.
Methods
In our systematic review and meta‐analysis, we aimed at providing updated figures concerning the use of thromboprophylaxis globally. We focused on: (a) the frequency of patients with an indication to thromboprophylaxis according with individual models; (b) the use of adequate thromboprophylaxis; and (c) reported contraindications to thromboprophylaxis. Observational nonrandomized studies or surveys focusing on medically ill patients were considered eligible.
Results
After screening, we included 27 studies from 20 countries for a total of 137 288 patients. Overall, 50.5% (95% confidence interval [CI]: 41.9–59.1, I 2 99%) of patients had an indication to thromboprophylaxis: of these, 54.5% (95% CI: 46.2–62.6, I 2 99%) received adequate thromboprophylaxis. The use of adequate thromboprophylaxis was 66.8% in Europe (95% CI: 50.7–81.1, I 2 98%), 44.9% in Africa (95% CI: 31.8–58.4, I 2 96%), 37.6% in Asia (95% CI: 25.7–50.3, I 2 97%), 58.3% in South America (95% CI: 31.1–83.1, I 2 99%), and 68.6% in North America (95% CI: 64.9–72.6, I 2 96%). No major differences in adequate thromboprophylaxis use were found across risk assessment models. Bleeding, thrombocytopenia, and renal/hepatic failure were the most frequently reported contraindications to thromboprophylaxis.
Conclusions
The use of anticoagulants for VTE prevention has been proven effective and safe, but thromboprophylaxis prescriptions are still unsatisfactory among hospitalized medically ill patients around the globe with marked geographical differences.
Keywords: epidemiology, thromboprophylaxis, thrombosis, venous thromboembolism, World Thrombosis Day
Essentials.
In 2008, ENDORSE reported only 40% of medical patients receiving adequate thromboprophylaxis.
We did a meta‐analysis of 27 studies (N = 137 288) to provide updated figures on a global scale.
Despite improvement, its use is still unsatisfactory (55%) with marked geographical differences.
The World Thrombosis Day is instrumental to increase VTE awareness and reduce disease burden.
1. INTRODUCTION
Venous thromboembolism (VTE) is a leading cause of cardiovascular morbidity and mortality. 1 , 2 VTE impairs patient prognosis and causes patient discomfort, longer hospitalizations, and higher health care costs. 3 , 4 , 5 The majority of VTE events are hospital‐associated, occurring during hospitalization or within 90 days of hospital discharge 6 : with more than 20 million hospital admissions in the European Union and around 35 million in the United States per year, 7 , 8 there is an urgent need to tackle this issue on a global scale. 5 , 9
Several risk assessment models, scores, and classifiers have been developed to identify high‐risk medical patients who would benefit from in‐hospital and postdischarge thromboprophylaxis on the basis of a risk‐benefit principle. 5 This means avoiding exposing patients with a low risk to unnecessary anticoagulation and consequent bleeding risk, but, and conversely, promoting the use of thromboprophylaxis among patients estimated to have a substantial VTE risk. 10 , 11
In several countries, national health care strategies and a systematic approach to prevention of hospital‐associated VTE have been integrated into routine care, resulting in a reduction of deaths and costs. 9 However, systematic strategies for VTE prevention are often not uniformly implemented, even within individual countries. The World Health Organization, in cooperation with the World Thrombosis Day and numerous other stakeholders, is currently enacting initiatives to reduce hospital‐associated VTE as a part of a global program to reduce preventable mortality from noncommunicable diseases. 12 A key aspect of this process is the evaluation and implementation of currently available assessment measures and therapies.
In 2008, the Epidemiologic International Day for the Evaluation of Patients at Risk for Venous Thromboembolism in the Acute Hospital Care Setting (ENDORSE) cross‐sectional study with around 70 000 patients from 32 countries showed that there is a substantial proportion of high‐risk hospitalized patients, but a low prevalent use of appropriate thromboprophylaxis. 13 In this systematic review of the literature and meta‐analysis, we examined the evolution of these figures among acutely ill medical patients in more recent years.
2. METHODS
We conducted a systematic review of the literature focusing on the use of risk assessment models and pharmacological thromboprophylaxis in acutely medically ill patients during hospitalization. We screened relevant publications including trials, cohort studies, case‐control studies, and surveys in PubMed and Web of Science that appeared over the past decade (2010–) using predefined search terms. Search criteria included "thromboprophylaxis," "prophylaxis," and “venous thromboembolism,” also "RAM" and "risk assessment method"; a complete overview of the search criteria has been attached (Appendix S1). Papers were not limited to the English language. The first literature search was on the January 15, 2021, and was updated thereafter. Studies retrieved by a predefined literature search strategy were selected based on titles and abstracts. All parts of the systematic review were performed separately in a standardized manner by two reviewers (G.F. and E.M.).
Studies were considered eligible if they fulfilled the following criteria: (a) observational nonrandomized studies or surveys focusing on medically ill patients (e.g., those who were hospitalized because of a medical, not surgical, condition); and (b) reporting the prevalent use of risk assessment models (and presenting the number of patients for each risk class) and of thromboprophylaxis. A description of each model is presented in the Supplementary Material. In‐hospital thromboprophylaxis was defined as the use of pharmacological agents at a prophylactic dose and having been defined as “adequate” in the individual studies based on currently accepted definitions.
We focused on the following study outcomes: (a) patients with an indication for thromboprophylaxis according with individual risk assessment models or classifiers; (b) use of thromboprophylaxis; and (c) reported reasons for not giving thromboprophylaxis to patients with another indication.
The data were extracted using a charting table, which was developed to record key information from sources relevant to the review questions. The findings were descriptively presented, with tables and figures to support the data, when appropriate. The following data were extracted: first author, year of publication, study design, number of study participants, sex, characteristics of the study population, and rate of the outcomes. Search results were screened independently by two reviewers for the relevance of titles/abstracts and full texts of the studies fulfilling the inclusion criteria. Disagreements were solved by a third reviewer.
We performed subgroup analyses investigating separately the frequency of patients classified at high risk and the rate of thromboprophylaxis used in each cohort by focusing on individual models, provided that the number of observations was deemed adequate for a subgroup analysis. We also analyzed the use of adequate thromboprophylaxis among high‐risk patients by geographical differences. We calculated weighed and unweighed rates of the outcomes of interest applying a random‐effect model (95% confidence interval [CI]). We assessed (statistical) heterogeneity of exposure effects by calculating the I 2 statistic, which summarizes the amount of variance among studies beyond chance. Heterogeneity was defined as low (I 2 < 25%), moderate (I 2 = 25%–75%), or high (I 2 > 75%). The presence of publication bias was evaluated by visually inspecting funnel plots. We did not perform a formal quality assessment of the included studies (i.e., with the Newcastle‐Ottawa score) because we anticipated that the vast majority of the studies would have not had our research question as one of the predefined outcomes of interest: as a consequence, many items of available scales would have not applied. We have provided a summary of the study design for each study.
3. RESULTS
Our literature search identified 2191 records in PubMed and 675 in Web of Science. The process of study selection is summarized in Figure S1. Eventually, we included 27 studies in our analysis for a total of 137 288 patients: of those, 15 were multicentric and six were conducted prospectively. Size, setting, quality assessment, and general characteristics of the included studies are summarized in Table 1. Reflecting their reported use in the studies selected by our systematic review, the following risk assessment models or classifiers were included for analysis: Padua Prediction score, Geneva score, Caprini score, and the American College of Chest Physicians (ACCP) criteria. The baseline characteristics of patients included in the individual studies are summarized in Table 2, including the prevalence of VTE risk factors that would mandate a primary thromboprophylaxis, such as reduced mobility, cancer, cardiopulmonary diseases, prior VTE, and acute infection. The Padua Prediction score (n = 10, 35%; n = 71 649) and the scheme proposed by the ACCP guidelines for VTE prophylaxis (n = 10, 35%; n = 4914) were the most frequently used models in the literature. Other risk assessment tools included the Caprini (n = 7, 25%; n = 61 258) and the Geneva (n = 1, 3.5%; n = 1478) scores (Table 3). None of the eligible studies focused on the IMPROVE risk assessment model.
TABLE 1.
Size, setting, and general characteristics of the included studies
First author | Centers, n | Study Design | Age (Median) | Men (%) | Country/Region | Exclusion Criteria | Number of Patients |
---|---|---|---|---|---|---|---|
Grant, 2018 25 | 52 | n.s. | 65 | 45 | United States | <48 h hospitalization, ICU | 44 775 |
Flanders, 2014 26 | 35 | Retrospective | 66 | 43 | United States | <18 years, pregnancy, surgery during hospitalization, ICU, palliative care, VTE <6 months | 31 260 |
de Bastos, 2013 27 | 1 | Cohort | 65 | 43 | Brazil | <18 years, ongoing anticoagulation, DVT | 27 221 (surgical and OB/GYN patients included) |
Gafter‐Gvili, 2020 28 | 1 | Retrospective | 67 | 51 | Israel | <48 h hospitalization, ongoing anticoagulation, surgery, active bleeding, hemoglobin <8 g/dl, platelet count <50 000/ml | 18 890 |
Mahlab‐Guri, 2020 29 | 1 | Retrospective | 68 | 47 | Israel | ≤18 years, ongoing anticoagulation, VTE | 3000 |
Łukaszuk, 2016 30 | 1 | Retrospective | 66 | 56 | Poland | <18 years, <24 h hospitalization, ICU | 2011 |
Nieto, 2014 31 | 78 | Retrospective | 78 | 51 | Spain | <40 years, <96 h hospitalization, admission for diagnostic procedures, VTE, surgery | 1623 |
Spirk, 2015 32 | 8 | Prospective | 65 | 53 | Switzerland | <18 years, ongoing anticoagulation, unable to provide an informed consent | 1478 |
Rossetto, 2013 33 | 1 | n.s. | 82 | 61 | Italy | Ongoing anticoagulation, contraindication to anticoagulation | 803 |
Zwicker, 2014 34 | 5 | Prospective | 56 | 56 | United States | Ongoing anticoagulation | 775 |
Vazquez, 2014 35 | 28 | Cross‐sectional | 65 | 53 | Argentina | <21 years, ongoing anticoagulation, pregnancy, postpartum, DVT, ICU | 729 |
Kingue, 2014 36 | 14 | Cross‐sectional | 61 | 49 | Sub‐Saharan Africa | <40 years | 567 |
Vincentelli, 2016 37 | 23 | Cohort | 72 | n.a. | Italy | ≤18 years, insufficient medical data, VTE, the presence of caval filters, contraindications for pharmacological prophylaxis, and recent (≤60 days) major trauma or major surgery | 520 |
Sharif‐Kashani, 2012 38 | 1 | Prospective | 52 | 62 | Iran | <18 years, <72 h hospitalization, ongoing anticoagulation, ICU | 481 |
Tazi‐Mezalek, 2018 39 | 7 | Cross‐sectional | 60 | n.a. | Morocco | <40 years, pregnancy, postpartum, VTE | 467 |
Farhat, 2018 40 | 1 | Cross‐sectional | n.a. | n.a. | Brazil | <18 years, <24 h hospitalization, ongoing anticoagulation, pregnancy, postpartum, unavailable information | 369 |
Moorehead, 2017 41 | 1 | Retrospective | 54 | n.a. | United States | INR >1.3, <72 h hospitalization, ongoing anticoagulation, VTE, active bleeding, liver transplantation, active renal or hematologic malignancy, coagulation deficiency | 300 |
Bâ, 2011 42 | 12 | Cross‐sectional | 62 | 54 | Senegal | <40 years, VTE | 278 |
Panju, 2011 43 | 2 | Retrospective | n.a. | n.a. | Canada | <18 years, ongoing anticoagulation | 233 |
Guermaz, 2015 44 | >1 | Observational | 61 | n.a. | Algeria | <40 years, no acute illness | 229 |
Gharaibeh, 2015 45 | 1 | Cross‐sectional | n.a. | 52 | Jordan | <18 years, <24 h hospitalization, ongoing antithrombotic treatment | 220 |
Wessels, 2012 46 | 29 | Prospective | 53 | 56 | South Africa | <18 years, ongoing anticoagulation, no written informed consent | 219 |
Ayalew, 2018 47 | 1 | Cross‐sectional | 40–45 | 48 | Ethiopia | Ongoing anticoagulation | 206 |
Lanthier, 2010 48 | 1 | Cross‐sectional | 71 | 46 | Canada | <18 years, ongoing anticoagulation | 183 |
Shah, 2020 49 | 2 | Prospective | 65 | 59 | Cyprus | <18 years, SVT, contraindication to anticoagulation, DVT in the prior 3 months | 180 |
Nkoke, 2020 50 | 2 | Prospective | 54 | 48 | Cameroon | <72 h hospitalization, ongoing anticoagulation, VTE | 147 |
Manoucheri, 2015 51 | 1 | Cross sectional | n.a. | n.a. | Iran | <16 years, <72 h hospitalization, ongoing anticoagulation | 124 |
Abbreviations: DVT, deep vein thrombosis; ICU, intensive care unit; INR, international normalized ratio; n.a., not available or not applicable; OB/GYN, obstetrics and gynecology; SVT, superficial vein thrombosis; VTE, venous thromboembolism.
TABLE 2.
Baseline characteristics of patients from the included studies
First Author | Reduced Mobility, n (%) | Cancer, n (%) | Respiratory or Heart Failure, n (%) | Prior VTE, n (%) | Obesity, n (%) | Recent Stroke or Myocardial Infarction, n (%) | Acute Infection, n (%) |
---|---|---|---|---|---|---|---|
Gafter‐Gvili, 2020 28 | 2381 (12) | 3460 (18) | 934 (5) | 150 (1) | 3602 (19) | n.a. | 2887 (14) |
Mahlab‐Guri, 2020 29 | 831 (28) | 223 (7) | 562 (19) | 56 (2) | 387 (13) | 194 (6) | 951 (32) |
Nkoke, 2020 50 | 45 (31) | 4 (3) | 19 (13) | 1 (1) | 12 (8) | 9 (6) | n.a. |
Shah, 2020 49 | 180 (100) | n.s. | 8 (4) | n.a. | 38 (21) | 8 (4) | n.a. |
Ayalew, 2018 47 | 44 (21) | 18 (9) | 26 (13) | 1 (1) | n.a. | 22 (11) | 106 (52) |
Farhat, 2018 40 | 214 (58) | 25 (7) | 57 (15) | 1 (1) | 38 (10) | 12 (3) | 87 (24) |
Moorehead, 2017 41 | n.s. | 45 (15) | 89 (29) | 14 (5) | 82 (27) | 13 (4) | n.a. |
Łukaszuk, 2016 30 | n.a. | 551 (27) | 42 (2) | 13 (1) | 349 (17) | n.a. | 780 (39) |
Vincentelli, 2016 37 | 157 (30) | 40 (8) | 160 (30) | n.a. | n.a. | 18 (3) | 46 (9) |
Gharaibeh, 2015 45 | 84 (surgical patients included) | n.s. | n.a. | n.a. | 92 (42) | n.a. | n.a. |
Guermaz, 2015 44 | 61 (27) | 7 (3) | 14 (6) | 5 (2) | 40 (18) | 19 (8) | 64 (28) |
Spirk, 2015 32 | 403/962 (high risk patients) (42) | 351 (36) | 513 (53) | 120 (13) | 180 (19) | 56 (4) | 403 (42) |
Flanders, 2014 26 | n.a. | 4334 (21) | n.a. | 1139 (5) | n.a. | n.a. | n.a. |
Kingue, 2014 36 | 132 (23) | 42 (7) | n.a. | n.a. | 59 (10) | 145 (26) | 135 (24) |
Nieto, 2014 31 | 853 (53) | 93 (6) | 282 (17) | n.a. | n.a. | 68 (4) | 279 (17) |
Vazquez, 2014 35 | 330 (45) | 159 (22) | 85 (12) | 21 (3) | 330 (45) | n.a. | n.a. |
Zwicker, 2014 34 | 54 (10) | 528 (100) | 49 (9) | 58 (11) | 128 (24) | 5 (1) | 165 (31) |
de Bastos, 2013 27 | n.a. | 1096 (11) | n.a. | n.a. | n.a. | 1099 (11) | n.a. |
Rossetto, 2013 33 | 266/296 (high risk patients) (85) | 65 (24) | 120 (31) | 23 (9) | n.a. | 7 (3) | 122 (32) |
Sharif‐Kashani, 2012 38 | 128 (27) | 70 (15) | 13 (3) | 4 (1) | n.a. | n.a. | n.a. |
Lanthier, 2010 48 | 71 (39) | 29 (16) | n.a. | 8 (4) | 44 (24) | n.a. | n.a. |
Abbreviations: n.a., not available or not applicable; VTE, venous thromboembolism.
TABLE 3.
List of the risk assessment models and thromboprophylaxis used in each study
First Author | Risk Assessment Method | Cutoff | Number of Patients | TP Indicated Solely Based on Score | TP Indicated Based on Score in Patients Without Contraindications or Exclusion Criteria | TP iven |
---|---|---|---|---|---|---|
Grant, 2018 25 | Padua | ≥4 | 44 775 | 12 226 | 10 422 | 7955 |
Flanders, 2014 26 | Caprini | ≥3 | 31 260 | n.a. | 20 794 | 14 563 |
de Bastos, 2013 27 | Caprini | High risk | 27 221 (surgical and OB/GYN patients included) | n.a. | 5227 | 1420 |
Gafter‐Gvili, 2020 28 | Padua | ≥4 | 18 890 | n.a. | 4370 | 1573 |
Mahlab‐Guri, 2020 29 | Padua | ≥4 | 3000 | 728 | 618 | 136 |
Łukaszuk, 2016 30 | Caprini | ≥5 | 2011 | n.a. | 888 | 309 |
Padua | ≥4 | 2011 | n.a. | 428 | 167 | |
Nieto, 2014 31 | ACCP 2008 | 1623 | 930 | 771 | 645 | |
Spirk, 2015 32 | Geneva risk score | ≥3 | 1478 | 962 | 898 | 572 |
Rossetto, 2013 33 | Padua | ≥4 | 803 | n.a. | 296 | 262 |
Zwicker, 2014 34 | Padua | ≥4 | 775 | n.a. | 377 | 297 |
Vazquez, 2014 35 | ACCP 2008 | 729 | 729 | 620 | 385 | |
Kingue S, 2014 36 | ACCP 2004 | 567 | n.a. | 353 | 128 | |
Vincentelli, 2016 37 | Padua | n.a. | 520 | n.a. | 165 | 100 |
Sharif‐Kashani, 2012 38 | ACCP 2008 | 481 | n.a. | 221 | 63 | |
Tazi‐ Mezalek, 2018 39 | ACCP 2008 | 467 | 250 | 250 | 126 | |
Farhat, 2018 40 | Padua | ≥4 | 369 | 154 | 140 | 91 |
Moorehead, 2017 41 | Padua | ≥4 | 300 | n.a. | 95 | 66 |
Bâ, 2011 42 | ACCP 2004 | 278 | 152 | 136 | 46 | |
Panju, 2011 43 | ACCP | 233 | 233 | 170 | 91 | |
Guermaz, 2015 44 | ACCP | 229 | 172 | 152 | 103 | |
Gharaibeh, 2015 45 | Caprini | ≥3 | 220 | n.a. | 127 | 82 |
Wessels, 2012 46 | Caprini | ≥3 | 219 | n.a. | 154 | 119 |
Ayalew, 2018 47 | Padua | ≥4 | 206 | n.a. | 78 | 21 |
Lanthier, 2010 48 | ACCP | 183 | n.a. | 88 | 67 | |
Shah, 2020 49 | Caprini | ≥ 5 | 180 | 140 | 140 | 82 |
Nkoke, 2020 50 | Caprini | High‐risk | 147 | 139 | 118 | 26 |
Manoucheri, 2015 51 | ACCP | 124 | n.a. | 114 | 48 |
Abbreviations: ACCP, American College of Chest Physicians; n.a., not available or not applicable; OB/GYN, obstetrics and gynecology, TP, thromboprophylaxis.
Overall, 50.5% (95% CI: 41.9–59.1, I 2 99%) of hospitalized medically ill patients were classified as having a high VTE risk according to a risk assessment tool or to the ACCP criteria (Figure 1). This percentage was 30.4% (95% CI: 27.4–33.5, I 2 97%) for the Padua Prediction score, 59.5% (95% CI: 34.9–81.8, I 2 99%) for the Caprini score, and 63.1% (95% CI: 52.3–73.4, I 2 98%) for the ACCP criteria.
FIGURE 1.
Patients classified at a high risk of VTE according to risk assessment models or ACCP criteria (all studies). ACCP, American College of Chest Physicians; VTE, venous thromboembolism
Overall, 54.5% (95% CI: 46.2–62.6, I 2 99%) of patients who were classified to be at a high VTE risk received adequate thromboprophylaxis, defined as the use of pharmacological agents at a prophylactic dose, and had been determined in the individual studies based on currently accepted definitions. The frequency of thromboprophylaxis use was similar across groups: 56.9% (95% CI: 39.6–73.4, I 2 99%) for the Padua Prediction score (Figure 2), 53.8% (95% CI: 40.1–67.2, I 2 98%) for the ACCP criteria (Figure 3), and 50.5% (95% CI: 29.4–71.5, I 2 99%) for the Caprini score (Figure 4).
FIGURE 2.
Adequate thromboprophylaxis use among high‐risk patients according with the Padua Prediction score
FIGURE 3.
Adequate thromboprophylaxis use among high‐risk patients according with the ACCP criteria. ACCP, American College of Chest Physicians
FIGURE 4.
Adequate thromboprophylaxis use among high‐risk patients according with the Caprini score
The use of adequate thromboprophylaxis was 66.8% in Europe (95% CI: 50.7–81.1, I 2 98%), 44.9% in Africa (95% CI: 31.8–58.4, I 2 96%), 37.6% in Asia (95% CI: 25.7–50.3, I 2 97%), in South America 58.3% (95% CI: 31.1–83.1, I 2 99%), whereas the percentage was higher in North America with 68.6% (95% CI: 64.9–72.6, I 2 96%) of patients (Figure 5).
FIGURE 5.
Geographical differences in thromboprophylaxis use
A total of 14 studies reported the frequency of relative and absolute contraindications to thromboprophylaxis among hospitalized medically ill patients. In five studies, this figure was specified for the total of patients with otherwise a formal indication for its use. In nine studies, it was reported for the total of included patients. A summary of the study characteristics and reasons for not giving thromboprophylaxis is shown in Table 4. Active bleeding was considered a contraindication in all reviewed papers. Following active bleeding, the most prevalent contraindication was thrombocytopenia with cutoff levels varying across studies from <50 000 × 109/L (n = 5), 75 000 109/L (n = 1), to 100 000 109/L (n = 2). In one study no threshold was defined. A bleeding disorder was reported in seven of the 11 papers as a contraindication. In five studies, patients presenting with renal failure did not receive thromboprophylaxis: the exact definition of renal failure was specified only in two studies.
TABLE 4.
Contraindications to pharmacological thromboprophylaxis as listed in each study
Study | Contraindicated/Total Patients, n | Bleeding, n (%) | Definition of Bleeding | Thrombocytopenia, n (%) | Definition of Thrombocytopenia (109/l) | Renal Failure, n (%) | Definition of Renal Failure | Other Reasons, n (%) |
---|---|---|---|---|---|---|---|---|
Guermaz, 2015 44 | 38/229 | n.a. | n.s. | n.s. | n.s. | n.s. | n.s. | n.s. |
Panju, 2011 43 | 63/233 | n.a. | Hemoglobin <100 g/L, suspected or active bleeding, recent gastrointestinal bleeding | n.s. | <100 000 oder HIT n.s. | n.s. | n.s. | n.s. |
Flanders, 2014 26 | 6398/31 260 | n.a. | Gastrointestinal or genitourinary bleeding within the last 6 months; high‐bleeding‐risk procedure, intracranial hemorrhage within the past year | n.s. | <50 000 oder HIT | n.s. | n.s. | Coagulopathy, hypersensitivity to unfractionated or low molecular weight heparin; severe head, spinal cord, or extremity trauma within the 24 h before admission; or intracranial lesion, neoplasm (n.s.) |
Sharif‐Kashani, 2012 38 | 23/481 | 6 (27) | Active gastrointestinal bleeding, massive hemoptysis | n.s. | n.s. | 14 (60%) | n.s. | Hepatic dysfunction, anemia with hematocrit < 30% 17 (73) |
Kingue, 2014 36 | 254/567 | 28 (12) | Active bleeding, intracranial hemorrhage | 21 (8) | n.s. | 88 (15.5%) | n.s. | Hepatic dysfunction, known bleeding disorder, aspirin on admission, NSAID on admission, active gastro‐duodenal ulcer 205 (80) |
Ayalew, 2018 47 | 50/206 | 15 (30) | Active bleeding, severe trauma to head or spinal cord with hemorrhage in past 4 weeks | 25 (50) | <50 000 or coagulopathy | Hepatic dysfunction 10 (20) | ||
Zwicker, 2014 34 | 247/775 | 92 (37) | Active bleeding, history of hemorrhage | 163 (66) | <50 000 or HIT | Patient refusal 12 (5) | ||
Bâ, 2011 42 | 22/278 | 8 (36) | Active bleeding, intracranial hemorrhage | n.s. | n.s. | Hepatic dysfunction, unknown bleeding syndrome, active duodenal ulcer 14 (64) | ||
Vazquez, 2014 35 | 129/729 | n.a. | Active bleeding, recent (in the past 7 days) major bleeding | n.s. | <50 000 or coagulopathy | n.s. | Creatinine clearance <30 mL/min | Active peptic ulcer, severe liver failure (n.s.) |
Study | Contraindicated/High‐risk Patients With Indication, n | Bleeding, n (%) | Definition of Bleeding | Thrombocytopenia, n (%) | Definition of Thrombocytopenia (G/l) | Renal Failure, n (%) | Definition of Renal Failure | Other Reasons, n (%) |
---|---|---|---|---|---|---|---|---|
Mahlab‐Guri, 2020 29 | 110/728 | 50 (45) | Recent bleeding, Intracranial hemorrhage in the past year | 39 (35) | <75 000 or HIT | Hepatic dysfunction, active peptic disease, coagulopathy 21 (20) | ||
Grant, 2018 25 | 1804/12 226 | n.a. | Active bleeding, intracranial hemorrhage within the past year; other hemorrhage within the past 6 months | n.s. | <50 000 or coagulopathy | Hemophilia, or other significant bleeding disorder (n.s.) | ||
Nieto, 2014 31 | 159/930 | n.a. | Active bleeding, recent intracranial hemorrhage; Active gastrointestinal ulcer | n.s. | n.s. | History of intracranial or aortic aneurysm (n.s.) | ||
Nkoke, 2020 50 | 21/139 | 12 (57) | Active bleeding, intracranial hemorrhage | 1 (8) | <100 000 | 7 (5%) |
Creatinine clearance <30 ml/min |
Hepatic impairment 1 (0.7%) |
Farhat, 2018 40 | 14/154 | n.a. | Active bleeding; ongoing anticoagulation; uncontrolled arterial hypertension (n.s.) | n.s. | Cutoff not defined | ‐ |
Abbreviations: CI, contraindicated; HIT, heparin‐induced thrombocytopenia; n.a., not available or not applicable; NSAID, nonsteroidal anti‐inflammatory drug.
4. DISCUSSION
The results of this systematic review and meta‐analysis of global studies indicate that, in contrast to guideline recommendations, the frequency of thromboprophylaxis prescriptions is still unsatisfactory among hospitalized medically ill patients. In 2008, a global multinational cross‐sectional survey, the ENDORSE study, including close to 70 000 hospitalized patients from 32 countries, of whom approximately 38 000 were categorized as medical inpatients, showed that 42% of medical inpatients were classified at high risk of VTE defined by the ACCP criteria and only 40% of this subgroup received adequate thromboprophylaxis. 13 Our systematic review and meta‐analysis of studies published since then, which included more than 135 000 patients from 20 countries, showed that the percentage of adequately thromboprophylaxed patients lags far behind what one would expect, being currently around 54% of those with an indication and after the exclusion of a variable number of patients on therapeutic anticoagulation before hospital admission.
This apparent overall increase of in‐hospital thromboprophylaxis over the past decade should be principally read as positive and could have resulted from a number of different reasons, including a general increased awareness of the need for VTE prevention. In comparison with the ENDORSE study, a fair improvement in the rate of the use of adequate thromboprophylaxis is recognizable primarily in Africa among all continents, improving from approximately 27%–29% in the ENDORSE study to 45% in this analysis. Moreover, we found that the use of adequate thromboprophylaxis still markedly varied across geographic regions, ranging from 38% in Asia to 69% in North America. This may be due to several factors, including national guidelines, VTE awareness, 14 health care standards, variable VTE prevalence among regions, 2 and reimbursement system. 15 In contrast, we could not find major deviations from model to model, indicating that thromboprophylaxis was given to a similar percentage of patients irrespective of the model that had been used.
Our results also showed that the most frequently reported reasons not to give thromboprophylaxis were the presence of active bleeding or a high risk of bleeding, including thrombocytopenia (with several different cutoffs), and renal or liver dysfunction. In many cases, however, the risk factors for bleeding may also represent predisposing factors for VTE, such as thrombocytopenia in cancer patients, recent trauma, or organ failure. This indicates that alternative preventive measures, such as mechanical thromboprophylaxis, the use of which for patients with contraindications to pharmacological thromboprophylaxis was sparsely mentioned, or novel and possibly safer pharmacological agents, 16 are urgently needed to reduce the individual risk of VTE but not that of bleeding.
The global VTE burden can be substantially reduced with the implementation of validated risk assessment models in clinical practice, with tailoring individual thromboprophylaxis, and with control measures to assess whether thromboprophylaxis is adequately prescribed. 17 , 18 , 19 The Padua Prediction score and the ACCP guidelines were the most frequently adopted scores in surveys included in our systematic review, followed by the Caprini and Geneva scores. We noted that applying different risk assessment models to a similar cohort of patients resulted in a different proportion of patients being classified as high risk. 20 Indeed, their performance largely varies, as recently demonstrated in an ad hoc analysis, 20 and their adoption should depend not only on general factors (again, their performance), but also on other aspects, including the target population, general acceptance and collection of specific clinical items for their calculation, and on the expected VTE prevalence in the target population. Indeed, the present study did not aim to study the performance of the different risk assessment methods, but to focus on the implementation on any strategy to risk stratify medical patients and on its consequences. In fact, some of the included models are not adequately validated for medical patients, such as the Caprini score. In contrast, one of the most frequently validated risk assessment models, the IMPROVE, 17 , 21 , 22 is probably too “young” to have been introduced in clinical practice and subsequently described in surveys or in population studies.
Raising awareness among health care professionals proved to be a successful method for improving the adequacy of venous thromboprophylaxis. 23 , 24 The World Thrombosis Day on October 13 is organized on a yearly basis, with events through the year as well, to raise awareness and improve the care of patients with thrombosis with the participation of hundreds of organizations around the globe. It is an educational initiative, with the aim of reducing the disease burden caused by VTE.
The present systematic review and meta‐analysis has a number of limitations related to the observational nature of the studies reviewed and their own limitations. Based on our search strategy, some important studies possibly were not included because not all relevant papers may have been listed in PubMed or Web of Science. 52 The studies in our systematic review were a combination of prospective, cross‐sectional, and retrospective registries. The risk assessment method used for the revaluation of VTE risk was also diverse with the use of three different risk assessment models plus the ACCP criteria. Furthermore, the cutoff for being classified as high risk for VTE was not homogeneously defined in different studies, and the exclusion criteria were also heterogeneously defined. The high clinical and statistical heterogeneity observed across studies, finally, may prevent an obvious interpretation of these results.
In conclusion, hospital‐associated VTE is known to be a mostly preventable cause of morbidity and mortality in medical hospitalized patients. The use of anticoagulants for VTE prevention has been proven effective and safe, but thromboprophylaxis prescriptions are still unsatisfactory among hospitalized medically ill patients around the globe with marked geographical differences.
CONFLICTS OF INTEREST
Dr. Barco has received honoraria from Boston Scientific, Concept Medical, INARI, Bayer, LeoPharma; institutional grants from Sanofi, Bard, Bentley, Concept Medical, Boston Scientific, Concept Medical; and support for congress participation and travel from Daiichi Sankyo and Bayer. Dr. Áinle: research grants (paid to university): Bayer, Daiichi‐Sankyo, Actelion, Leo Pharma. Dr. Ageno has received research support from Bayer and honoraria from Aspen, Bayer, BMS/Pfizer, Leo Pharma, Norgine, Sanofi, Daiichi Sankyo. Dr. Castellucci has received honoraria from Bayer, BMS‐Pfizer Alliance, The Academy, LEO Pharma, Sanofi, and Servier; she holds a Heart and Stroke Foundation of Canada National New Investigator Award, and a Tier 2 research Chair in Thrombosis and Anticoagulation Safety from the University of Ottawa. The other authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
AUTHOR CONTRIBUTIONS
Gabor Forgo: data collection, data analysis and interpretation, drafting the article. Maria Cecilia Guillermo Esposito: data collection, revision of the article, provided critical feedback and interpretation of the results, final approval. Walter Ageno, Lana A. Castellucci, Gabriela Cesarman‐Maus, Henry Ddungu, Erich Vinicius De Paula, Mert Dumantepe, Maria Cecilia Guillermo Esposito, Stavros V. Konstantinides, Nils Kucher, Claire McLintock, Fionnuala Ní Áinle, Alex C. Spyropoulos, Tetsumei Urano, Beverley J. Hunt: interpretation of the results, revision of the article, provided critical feedback, final approval. Stefano Barco: concept and supervision of the study, drafting the article, interpretation of the results, final approval. An informed consent is not needed for the conduction of systematic reviews and meta‐analyses.
Supporting information
Appendix S1
ACKNOWLEDGMENTS
Open Access Funding provided by Universitat Zurich.
Forgo G, Micieli E, Ageno W, et al. An update on the global use of risk assessment models and thromboprophylaxis in hospitalized patients with medical illnesses from the World Thrombosis Day steering committee: Systematic review and meta‐analysis. J Thromb Haemost. 2022;20:409–421. doi: 10.1111/jth.15607
Manuscript Handled by: David Lillicrap
Final decision: David Lillicrap, 18 November 2021
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Supplementary Materials
Appendix S1