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Record W3004289205 · doi:10.1093/ibd/izaa003

Risk of Venous Thromboembolism in Patients with Inflammatory Bowel Disease Extends beyond Hospitalization

2020· letter· en· W3004289205 on OpenAlexaboutno aff
Andrea C. Bafford, Raymond K. Cross

Bibliographic record

VenueInflammatory Bowel Diseases · 2020
Typeletter
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsnot available
Fundersnot available
KeywordsVenous thromboembolismMedicineInflammatory bowel diseaseIntensive care medicineInternal medicineInflammatory Bowel DiseasesDiseaseGastroenterologyThrombosis

Abstract

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Venous thromboembolism (VTE) is estimated to affect as many as 900,000 Americans each year, causing between 60,000 and 100,000 deaths.1 Pulmonary embolism (PE) is particularly fatal, with one-quarter of patients presenting with sudden death.1 Hospitalized patients are at elevated risk for VTE over the general population, with patients with active cancer, reduced mobility, prior h/o VTE, and known thrombophilic condition at greatest risk.2 As such, the American College of Chest Physicians (ACCP) recommends anticoagulant thromboprophylaxis for acutely ill hospitalized medical patients at increased risk of thrombosis and not bleeding or at high risk for bleeding.2 Patients with recent surgery are also at higher VTE risk, especially those undergoing abdominopelvic surgery, those with cancer, and those who develop surgical complications.3 The ACCP recommends pharmacologic thromboprophylaxis for abdominopelvic surgery patients at moderate or high risk for VTE, unless the risk of major bleeding complication is high.3 Patients with inflammatory bowel disease (IBD) are at a 3-fold higher risk of VTE over non-IBD patients, especially when hospitalized and during flares.4–6 Unfortunately, they are also at increased risk for gastrointestinal bleeding, complicating their VTE treatment and prophylaxis. Anticoagulation thromboprophylaxis is generally recommended for IBD patients hospitalized with moderate to severe flares without severe bleeding and those hospitalized for indications unrelated to IBD.7 Anticoagulation prophylaxis is also recommended by some for patients with prior VTE being treated on an outpatient basis for moderate to severe flares.7 However, VTE risk persists beyond hospital discharge. In a review of 1897 patients with a confirmed episode of VTE, 74% occurred in the outpatient setting.8 A significant proportion of patients had undergone surgery (23%) or were hospitalized (37%) in the 3 months preceding VTE. Benlice et al reported a 30-day VTE rate of 2.5% in 24,182 IBD patients undergoing elective abdominopelvic surgery, with 41% (252 of 614) of events occurring after hospital discharge.9 Nonetheless, extended-duration thromboprophylaxis for hospitalized nonsurgical patients is generally advised against due to risk-benefit and cost considerations.2 For example, in a trial of 6085 hospitalized patients with acute medical illness in which participants were randomized to 38 ± 4 days of enoxaparin prophylaxis vs placebo, treatment reduced VTE incidence (−1.53% absolute risk; 95% CI, −2.54% to −0.52%) but increased major bleeding complications (0.5%; 95% CI, 0.12% to 0.89%).10 The use of prolonged thromboprophylaxis (at least 14 days) following abdominopelvic surgery has been more widely studied, with a recent Cochrane review showing an overall incidence of VTE of 5.2% vs 13.2% in patients who received out-of-hospital low molecular weight heparin compared with those who did not (odds ratio [OR] 0.38, 95% CI, 0.26 to 0.54).11 Accordingly, multiple clinical societies recommend extended-duration pharmacologic prophylaxis with low molecular weight heparin for certain high-VTE-risk patients undergoing abdominal or pelvic surgery, such as those with cancer.3, 12 These same thought leaders, however, have not specifically addressed extended-duration VTE prophylaxis in patients with IBD. In this study, McCurdy et al compared incidence of postdischarge VTE in nonsurgical and surgical IBD patients to that in non-IBD controls using propensity score matching for VTE risk factors. Patients and hospitalizations were identified using Ontario health administrative data sets, which provide information for >99% of residents. In all, 81,900 IBD discharges were compared with 371,964 non-IBD discharges. The nonsurgical cohorts were ideally matched, whereas in the surgical cohort, non-IBD controls were older, had slightly more comorbidities, and were more likely to have an urgent admission. The cumulative VTE incidence was 2.3% in nonsurgical IBD patients and 1.6% in surgical IBD patients. The median time to VTE was 74 days for nonsurgical IBD patients and 26 days for surgical IBD patients. Nonsurgical IBD patients had a 1.7-fold greater risk of VTE compared with controls at 1 month and throughout 12 months, with ulcerative colitis (UC) patients having higher risk than Crohn’s disease (CD) patients up to 6 months posthospitalization. After adjusting for risk factors, surgical IBD patients were also more likely to develop postdischarge VTE than non-IBD surgical controls at 1 month and at 12 months due to risk in UC (hazard ratio [HR] 1.68 and HR 1.78, respectively), but not CD patients. However, these differences disappeared when only urgent hospital admissions were included, presumably due to higher total VTE rates in all patients. Finally, postdischarge VTE incidence was found to increase over the 2002 to 2016 study period in both nonsurgical IBD and non-IBD control patients, but not surgical patients. This study was strengthened by its large size and inclusivity as a population-based investigation. In addition, by propensity matching, the authors created a study environment closer to actual randomization. Results are concordant with prior published works, including one study by Ali et al that showed a higher 30-day VTE rate in IBD patients undergoing colon resection compared with patients undergoing colectomy for diverticulitis (3.1% vs 2.4%, P < 0.001) and a higher 30-day VTE rate in UC than CD patients (4.1% vs 2.1%, P < 0.001). On the other hand, patients who did not require hospital-level care for VTE events were not captured in this study, potentially confounding the results and likely resulting in underestimation of overall VTE incidence. Disease severity, a factor known to be associated with VTE risk, was also not accounted for in propensity matching. In addition, because IBD patients typically have closer health care contact and more frequent postoperative imaging studies, VTE detection is likely higher in this patient population, potentially overestimating the increased rate over non-IBD patients. Nevertheless, this study clearly demonstrates that nonsurgical IBD patients and postoperative UC patients have a significantly elevated VTE risk that extends from hospitalization to 12 months afterwards. Venous thromboembolism rates in hospitalized and postoperative IBD patients approach those in patients with abdominal malignancies,13–15 in whom extended duration thromboprophylaxis following surgical hospitalizations is currently advised. In one prospective study of over 16,000 patients undergoing colorectal surgery, 90-day VTE rates were actually lower in cancer patients compared with those with IBD (2.1% vs 2.6%, P < 0.001).16 Therefore, when added to previous literature, this report compels the need to consider extended-duration anticoagulant thromboprophylaxis in hospitalized and perioperative IBD patients, especially those with additional VTE risk factors. At a minimum, patients should be educated regarding signs and symptoms of VTE and provided resources for obtaining timely care should these occur. Cost and adverse events, in particular gastrointestinal and other bleeding, need to be further examined. In the future, randomized controlled trials would help guide the use of chemoprophylaxis in this patient population.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.005
GPT teacher head0.209
Teacher spread0.204 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations5
Published2020
Admission routes1
Has abstractyes

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