Literature DB >> 35859579

Thromboprophylaxis in people hospitalized with COVID-19: Assessing intermediate or standard doses in a retrospective cohort study.

Kathleen M Andersen1,2, Corey S Joseph1,2, Hemalkumar B Mehta1,2, Michael B Streiff3, Joshua F Betz4, Robert C Bollinger5,6, Arielle M Fisher7, Amita Gupta5,8, Charles F LeMaistre7, Matthew L Robinson5, Yanxun Xu9, Derek K Ng1, G Caleb Alexander1,2,10, Brian T Garibaldi11.   

Abstract

Background and
Objectives: Current clinical guidelines recommend thromboprophylaxis for adults hospitalized with coronavirus disease 2019 (COVID-19), yet it is unknown whether higher doses of thromboprophylaxis offer benefits beyond standard doses.
Methods: We studied electronic health records from 50 091 adults hospitalized with COVID-19 in the United States between February 2020 and February 2021. We compared standard (enoxaparin 30 or 40 mg/day, fondaparinux 2.5 mg, or heparin 5000 units twice or thrice per day) versus intermediate (enoxaparin 30 or 40 mg twice daily, or up to 1.2 mg/kg of body weight daily, heparin 7500 units thrice per day or heparin 10 000 units twice or thrice per day) thromboprophylaxis. We separately examined risk of escalation to therapeutic anticoagulation, severe disease (first occurrence of high-flow nasal cannula, noninvasive positive pressure ventilation or invasive mechanical ventilation), and death. To summarize risk, we present hazard ratios (HRs) with 95% confidence intervals (CIs) using adjusted time-dependent Cox proportional hazards regression models.
Results: People whose first dose was high intensity were younger, more often obese, and had greater oxygen support requirements. Intermediate dose thromboprophylaxis was associated with increased risk of therapeutic anticoagulation (HR, 3.39; 95% CI, 3.22-3.57), severe disease (HR, 1.22; 95% CI, 1.17-1.28), and death (HR, 1.37; 95% CI, 1.21-1.55). Increased risks associated with intermediate-dose thromboprophylaxis persisted in subgroup and sensitivity analyses varying populations and definitions of exposures, outcomes, and covariates. Conclusions: Our findings do not support routine use of intermediate-dose thromboprophylaxis to prevent clinical worsening, severe disease, or death among adults hospitalized with COVID-19.
© 2022 The Authors. Research and Practice in Thrombosis and Haemostasis published by Wiley Periodicals LLC on behalf of International Society on Thrombosis and Haemostasis (ISTH).

Entities:  

Keywords:  COVID‐19; SARS‐CoV‐2; enoxaparin; heparin; pharmacoepidemiology

Year:  2022        PMID: 35859579      PMCID: PMC9287673          DOI: 10.1002/rth2.12753

Source DB:  PubMed          Journal:  Res Pract Thromb Haemost        ISSN: 2475-0379


People who have coronavirus disease 2019 (COVID‐19) have an increased risk of blood clots. People who are hospitalized with COVID‐19 are given medications to prevent blood clots. In our study, higher doses of these medications did not help patients hospitalized with COVID‐19. This work helps us understand how to best treat and manage patients with COVID‐19 in the hospital.

INTRODUCTION

Over 503 million infections and >6 million deaths have accrued worldwide from severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) as of April 15, 2022. Coronavirus disease 2019 (COVID‐19), the syndrome caused by SARS‐CoV‐2, is associated with an increased rate of thromboembolic events, , , , despite the routine use of thromboprophylaxis among hospitalized patients. , , , In response to rapidly evolving evidence, the Scientific Standardization Committee of the ISTH issued guidance in May 2020 for prescribers to consider intermediate‐dose thromboprophylaxis, which provides a level of anticoagulation greater than standard prophylactic doses, yet less than therapeutic levels used to manage deep vein thrombosis or pulmonary embolism. In November 2021, both the World Health Organization and National Institutes of Health (NIH) treatment guidelines stated that there is insufficient evidence to recommend for or against the use of intermediate‐dose thromboprophylaxis. , In February 2022, the NIH guidelines were revised for adults requiring intensive care unit (ICU)‐level care to state: “The Panel recommends against the use of an intermediate dose (eg, enoxaparin 1 mg/kg daily) or a therapeutic dose of anticoagulation for VTE [venous thromboembolism] prophylaxis, except in a clinical trial”; there was no change in recommendations pertaining to intermediate dosing in non‐ICU hospitalized patients. Several investigations compared therapeutic (full‐dose) anticoagulation to standard thromboprophylaxis doses in hospitalized adult populations and settings. For example, there is evidence that therapeutic anticoagulation offers a benefit over standard thromboprophylaxis in noncritically ill patients hospitalized with COVID‐19 , but is not effective if started after the onset of critical illness. , , Whether these findings extend to comparisons of standard‐ and intermediate‐dose thromboprophylaxis is unclear. , , , , A clinical trial of 562 patients in the ICU did not find significant differences in thrombosis, risk of extracorporeal membrane oxygenation (ECMO), or death between standard‐ and high‐dose thromboprophylaxis; importantly, no differences in safety outcomes were noted. Of note, this trial implemented differential dosing for persons with high body mass index (BMI), which limits the generalizability to centers that do not use weight‐based thromboprophylaxis dosing. The role of standard‐ versus intermediate‐dose thromboprophylaxis in non‐ICU patients is unknown. In addition to uncertainty as to optimal prophylactic doses, important questions remain regarding the effects of changes in intensity throughout the course of an inpatient stay. To date, studies have examined smaller data sets and have not considered the time‐varying exposures that might bias intention‐to‐treat analyses. , , , , , We compared the real‐world effectiveness of standard‐ versus intermediate‐dose thromboprophylaxis in preventing the need for escalation to therapeutic anticoagulation, severe disease or death among adults hospitalized with COVID‐19 in the United States from February 2020 through February 2021.

METHODS

Study setting and population

Our analyses included individuals who received care at a facility affiliated with HCA Healthcare, a large health system with over 2000 sites of care including 186 hospitals across 20 states. We defined a COVID hospitalization as an adult with a positive SARS‐CoV‐2 test result and a clinical diagnosis of COVID‐19. The COVID‐19 Consortium of HCA Healthcare and Academia for Research Generation (CHARGE) is a group of 11 academic centers that have partnered with HCA Healthcare and the federal Agency for Health Research and Quality to learn from the clinical experience of HCA Healthcare. The data set has been previously described , and includes detailed information on demographics, clinical encounters, prescription drugs, vital signs, and laboratory measures.

Inclusion and exclusion criteria

We used the CHARGE standard definition of a continuous COVID‐19 clinical care episode (Table S1) and selected a person's first inpatient encounter for this analysis. We excluded people who were pregnant, had severe renal impairment, or who had a pulmonary embolism, cerebral infarction, or deep vein thrombosis at the time of admission, given the differential indications for anticoagulation in these populations. We also excluded people admitted to centers with no ICU beds, such as an inpatient psychiatric hospital or rehabilitation center, where the indication for admission is unlikely to be acute COVID‐19. We required a positive SARS‐CoV‐2 test result no more than 21 days before their admission; to exclude nosocomial infections, positive tests could be no later than 5 days into their admission. Finally, we excluded people who did not receive any anticoagulation at any point in their stay, whose first anticoagulation strategy was therapeutic dosing, and people who were using anticoagulation before admission.

Exposures

We used HCA's treatment protocols to define our exposure groups. We defined standard thromboprophylaxis doses as enoxaparin 30 or 40 mg once daily, fondaparinux 2.5 mg once daily or heparin 5000 units twice or thrice daily (Table S2). We defined intermediate‐dose thromboprophylaxis as enoxaparin 30 mg or 40 mg twice daily or any enoxaparin dose >40 mg, which was up to 1.0 mg/kg/day plus 20% rounding factor; heparin 7500 units three times daily; or heparin 10 000 units two or three times daily. Unlike previous work where we could reasonably employ time‐fixed exposure definitions, , anticoagulation necessitates a time‐varying exposure definition to allow for changes in intensity throughout the hospitalization. We defined follow‐up time as beginning at the precise date and time of thromboprophylaxis administration. We considered people to be continuously exposed until 24 hours after the last administration, reflecting the relatively short‐acting nature of thromboprophylaxis. If a person switched treatment intensity before the 24‐hour washout period, we ended their prior exposure period the minute before the new exposure was first administered.

Outcomes

First, based on clinical guidelines as well as expert opinion, we defined therapeutic anticoagulation as enoxaparin >1.2 mg/kg/day or intravenous heparin. While the effectiveness of thromboprophylaxis would be most clearly demonstrated with an absolute or relative reduction in risk of thrombotic events, we were not able to answer this question using these data. The CHARGE data set does not contain time stamps for recorded diagnosis codes, and given the time‐varying nature of anticoagulation exposures during a hospitalization, we were unable to analyze the incidence of clots as a function of any given exposure strategy. We therefore considered the date and time of first therapeutic anticoagulation dose as a surrogate measure for clinical worsening or a suspected deep vein thrombosis or pulmonary embolism. Second, we defined severe disease as the first occurrence of high‐flow nasal cannula (HFNC), noninvasive positive pressure ventilation (NIPPV), or invasive mechanical ventilation (IMV). Third, we examined the risk of death, and included people who were discharged to hospice.

Covariates

We adjusted for demographics, smoking status, overweight or obesity as defined by BMI, and select medications current at the time of admission (Table S3). We used the 2022 Elixhauser Comorbidity Index to summarize comorbidity burden. We included abnormal values of laboratory measures and vital signs at the time of admission , , , , to be relevant baseline confounders but not after initiation, as we considered these to be mediators rather than confounders of the causal effect (Figure S1).

Statistical analyses

We calculated absolute standardized mean differences to compare people given the first strategy of anticoagulation they received, with >0.10 interpreted as a meaningful difference. We used time‐dependent Cox proportional hazards models to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the risk of each outcome of interest, while controlling for patient characteristics.

Subgroup analyses

While HCA COVID‐19 inpatient treatment protocols did not modify dosing for patients with increased body weight, it is possible that some facilities or prescribers made dosing adjustments that could affect our exposure definition. In subgroup analyses, intermediate doses in persons with class III obesity (BMI > 40 kg/m2) were instead considered standard thromboprophylaxis, as people with larger bodies may require higher doses to achieve similar anticoagulation effects. To evaluate whether effectiveness differed by baseline severity of disease, we also stratified analyses by oxygen support at the time of first dose, comparing people with no or low‐flow oxygen requirements to those with advanced levels of respiratory support (HFNC, NIPPV, or IMV).

Sensitivity analyses

First, we removed laboratory measures and vital signs from the time of admission from our set of adjusted covariates, given that these prognostic factors may be strongly associated with the outcomes of interest. Second, we implemented inverse probability of treatment weights in a marginal structural model framework to evaluate whether laboratory measures and vital signs exerted time‐varying confounding. Third, we calculated e‐values, which are a form of quantitative bias assessment to estimate the strength of association that an independent unmeasured confounder would need to exert to change the interpretation of our findings. Fourth, we excluded people who died within 48 hours of admission, to emulate the exclusion criteria for short life expectancy from several previous anticoagulation‐related clinical trials. , , Fifth, we added an indicator variable for each of the 186 facilities, to evaluate whether there were facility‐level patterns influencing our results. Sixth, we excluded people who were hospitalized >7 days after their COVID diagnosis to more closely mimic antithrombotic clinical trial inclusion criteria. Analyses were conducted using SAS software, version 9.4, of the SAS System for Windows (SAS Institute, Cary, NC, USA), and data visualizations were produced using R version 4.0.2 (R Foundation for Statistical Computing, Vienna, Austria).

Patient and public involvement

Patients were not involved in the design or analysis of this study.

RESULTS

Characteristics at anticoagulation initiation

We identified 50 091 adults hospitalized with confirmed SARS‐CoV‐2 infection who met inclusion and exclusion criteria (Figure S2). The median time from admission to first dose was 7 hours. People whose first prophylaxis dose was high intensity were younger and more often obese (Table 1). At the time of the first dose, people with HFNC or NIPPV were more likely to receive intermediate rather than standard doses. No differences in preadmission medications for common chronic comorbidities were noted. Intermediate‐dose thromboprophylaxis was more often chosen for people with elevated alanine aminotransferase and low albumin as well as abnormal vital signs (Table S4).
TABLE 1

Characteristics at the time of first inpatient thromboprophylaxis dose

Standard‐dose prophylaxis n = 36 060 (72%)Intermediate‐dose prophylaxis n = 14 031 (28%)Absolute standardized mean difference
Age, y62.1 (16.8)59.8 (16.3)0.14
Male18,895 (52)7465 (53)0.02
Self‐identified race
Asian1295 (4)379 (2)0.05
Black6114 (17)2204 (16)0.03
White20,523 (57)7967 (57)0.01
Multiracial328 (1)112 (1)0.01
Another race6876 (19)2979 (21)0.05
Missing924 (2)390 (3)0.02
Hispanic or Latinx ethnicity11,281 (31)4886 (35)0.08
Current or former smoker6327 (18)2451 (17)0.01
Body mass index
Not overweight or obese6423 (18)1765 (13)0.15
Overweight9600 (27)3260 (23)0.08
Obese14,263 (39)7541 (54)0.29
Missing5774 (16)1465 (10)0.17
Highest level of oxygen support before anticoagulation initiation
None18,172 (50)6256 (45)0.12
Low‐flow14,472 (40)5779 (41)0.02
High‐flow or noninvasive ventilation2855 (8)1689 (12)0.14
Invasive mechanical ventilation561 (2)305 (2)0.05
Medications current at the time of admission
Antidiabetics4501 (12)1900 (14)0.03
Antihypertensives8940 (25)3554 (25)0.01
Antiplatelets1753 (5)609 (4)0.02
Aspirin5150 (14)1849 (13)0.03
Immunosuppression1641 (5)596 (4)0.01
Inhaled corticosteroids1542 (4)672 (5)0.02
Statins7053 (20)2649 (19)0.02
Systemic glucocorticoids1773 (5)668 (5)0.01

Note: Continuous variables are represented as mean (standard deviation), and categorical variables as count (percentage). There were two people for whom oxygen liters per minute value were outside plausible ranges and their oxygen support status could not be determined. For detailed definitions, see Table S3.

Characteristics at the time of first inpatient thromboprophylaxis dose Note: Continuous variables are represented as mean (standard deviation), and categorical variables as count (percentage). There were two people for whom oxygen liters per minute value were outside plausible ranges and their oxygen support status could not be determined. For detailed definitions, see Table S3.

Risk of outcomes from adjusted regression models

Overall, 14% of people changed from thromboprophylaxis to therapeutic anticoagulation, 18% progressed to severe disease, and 11% died within 10 days of their last prophylactic dose (Table 2). Adults who were receiving intermediate doses, as compared to standard doses, were more than three times as likely to switch to therapeutic anticoagulation (HR, 3.39; 95% CI, 3.22‐3.57). Intermediate doses were also associated with an increased risk of severe disease (HR, 1.22; 95% CI, 1.17‐1.28). We used a range of time points to define the relevant time window for the prophylaxis‐associated risk of death, from 24 hours up to 10 days after the last dose, and found an increased risk of death for each (HR range, 1.37–1.41).
TABLE 2

Risk of specific severe outcomes from time‐dependent Cox proportional hazards models

EventsPerson‐days of follow‐upEvent rate per 100 person‐daysUnadjusted HR (95% CI)Adjusted HR (95% CI)
Therapeutic anticoagulation
Intermediate dose439077,8495.63.68(3.50‐3.87)3.39 (3.22‐3.57)
Standard dose2473187,9931.3ReferenceReference
Severe disease
Intermediate dose3324963234.51.59 (1.52‐1.66)1.22 (1.17‐1.28)
Standard dose5488105,5365.2ReferenceReference
Death within 24 hours of last prophylaxis dose
Intermediate dose508112,8130.51.49 (1.32‐1.68)1.37 (1.21‐1.55)
Standard dose646215,4560.3ReferenceReference
Death within 3 days of last prophylaxis dose
Intermediate dose1373156,8520.91.51 (1.41‐1.63)1.41 (1.31‐1.52)
Standard dose1698295,6260.6ReferenceReference
Death within 7 days of last prophylaxis dose
Intermediate dose2100242,2480.91.53 (1.44‐1.62)1.38 (1.30‐1.47)
Standard dose2584452,4630.6ReferenceReference
Death within 10 days of last prophylaxis dose
Intermediate dose2616304,3760.91.57 (1.49‐1.65)1.40 (1.33‐1.48)
Standard dose3120568,0450.5ReferenceReference

Note: For a detailed list of covariates in the adjusted models, see Table S3.

Abbreviations: CI, confidence interval; HR, hazard ratio.

Risk of specific severe outcomes from time‐dependent Cox proportional hazards models Note: For a detailed list of covariates in the adjusted models, see Table S3. Abbreviations: CI, confidence interval; HR, hazard ratio. In analyses where we applied dose adjustment for people with class III obesity, HRs were slightly attenuated, but risks remained elevated (Table 3). In stratified analyses, we evaluated whether baseline disease severity modified the effect of intermediate‐dose thromboprophylaxis (Table 4). In people with no or low‐flow oxygen at the time of their first‐ever prophylactic dose, the risk of therapeutic anticoagulation (HR, 3.78; 95% CI, 3.56‐4.01) and death within 10 days (HR, 1.47; 95% CI, 1.38‐1.57) for patients receiving intermediate‐dose prophylaxis was larger than in the overall analyses. Conversely, in people with severe disease (high oxygen requirements), the risk of therapeutic anticoagulation (HR, 2.29; 95% CI, 2.06‐2.55) and death (HR, 1.17; 95% CI, 1.07‐1.29) was attenuated.
TABLE 3

Risk of specific severe outcomes, with dose adjustments for persons with body mass index >40 kg/m2

EventsPerson‐days of follow‐upAdjusted HR (95% CI)
Therapeutic anticoagulation
Intermediate dose377458,1443.29 (3.13‐3.46)
Standard dose3089207,698Reference
Severe disease
Intermediate dose249951291.14 (1.09‐1.20)
Standard dose6313110,040Reference
Death within 24 h of last prophylactic dose
Intermediate dose42786,9001.38 (1.22‐1.56)
Standard dose727241,368Reference
Death within 3 days of last prophylactic dose
Intermediate dose1154122,0681.36 (1.26‐1.46)
Standard dose1917330,409Reference
Death within 7 days of last prophylactic dose
Intermediate dose1801190,0821.35 (1.27‐1.43)
Standard dose2883504,629Reference
Death within 10 days of last prophylactic dose
Intermediate dose2247239,4031.36 (1.29‐1.44)
Standard dose3489633,018Reference

Note: There were 4113 persons with a body mass index >40 kg/m2 with a total of 4607 person‐periods, which were reclassified from intermediate‐dose prophylaxis to standard‐dose prophylaxis in this analysis. For a detailed list of covariates in the adjusted models, see Table S3.

Abbreviations: CI, confidence interval; HR, hazard ratio.

TABLE 4

Risk of specific severe outcomes, stratified by oxygen requirements at time of first dose

No or low‐flow oxygen at time of first doseSevere disease at time of first dose
EventsPerson‐daysAdjusted HR (95% CI)EventsPerson‐daysAdjusted HR (95% CI)
Therapeutic anticoagulation
Intermediate dose336564,8173.78 (3.56‐4.01)102413 0252.29 (2.06‐2.55)
Standard dose1896168,139Reference57719 854Reference
Severe disease
Intermediate dose266222,3751.21 (1.15‐1.27)
Standard dose4689116,535Reference
Death within 24 h of last prophylactic dose
Intermediate dose33189,5761.47 (1.26‐1.71)17723 2291.11 (0.90‐1.37)
Standard dose422186,383Reference22429 072Reference
Death within 3 d of last prophylactic dose
Intermediate dose900126,6951.47 (1.34–1.61)47230 1471.21 (1.06‐1.38)
Standard dose1152258,507Reference54637 119Reference
Death within 7 d of last prophylactic dose
Intermediate dose1402199,1131.45 (1.35‐1.56)69743 1211.16 (1.04‐1.29)
Standard dose1778400,296Reference80652 167Reference
Death within 10 d of last prophylactic dose
Intermediate dose1756252,1071.47 (1.38‐1.57)85952 2521.17 (1.07‐1.29)
Standard dose2158505,174Reference96262 871Reference
Risk of specific severe outcomes, with dose adjustments for persons with body mass index >40 kg/m2 Note: There were 4113 persons with a body mass index >40 kg/m2 with a total of 4607 person‐periods, which were reclassified from intermediate‐dose prophylaxis to standard‐dose prophylaxis in this analysis. For a detailed list of covariates in the adjusted models, see Table S3. Abbreviations: CI, confidence interval; HR, hazard ratio. Risk of specific severe outcomes, stratified by oxygen requirements at time of first dose Results from sensitivity analyses were consistent with main analyses. Laboratory measures and vital signs in the 24 hours before a switch from standard‐ to intermediate‐dose prophylaxis are presented in Table S5. We further extend findings from the main analysis with e‐values, as an unmeasured confounder would have to be associated with therapeutic anticoagulation by a risk ratio of >5.89‐fold for the result to no longer be a statistically significant increased risk (Table S6). In sensitivity analyses to vary exposure, outcome, and covariate definitions, we continued to find statistically significant increases in the risk of therapeutic anticoagulation (HR range, 2.97‐3.97), severe disease (HR range, 1.22‐1.60) and death (HR range, 1.10‐1.70) with intermediate‐dose prophylaxis (Tables S7‐S11). The risk of death was not statistically significant in marginal structural models.

DISCUSSION

COVID‐19 has been associated with an increased risk of venous and arterial thromboembolism, which may suggest intermediate‐dose thromboprophylaxis as a treatment consideration, particularly in severe cases. Nevertheless, current treatment guidelines have not recommended routine use of intermediate‐dose thromboprophylaxis in non‐ICU patients and have recently recommended against use in ICU patients. In this retrospective comparative effectiveness study, our findings do not support the use of intermediate‐dose thromboprophylaxis to prevent clinical worsening, severe disease or death among adults hospitalized with COVID‐19 in the United States. These findings are important, given that thromboprophylaxis plays a significant role in the inpatient management of COVID‐19, and reflect one of several examples of evolving standards of care throughout the pandemic. These results persisted in a variety of subgroup and sensitivity analyses. Abnormal lab and vital signs were less common at the time of intensification than at standard prophylaxis initiation. These results do not support potential bias from confounding by indication, where people could have been switched to intermediate doses due to worsening clinical status, which could have explained the increases risks reported. Further, the large e‐values suggest that an unmeasured confounder would have to have a large magnitude of effect to change our findings to null or protective effects; importantly, this hypothetical variable would need to exert influence independently of each of the confounders already included in the adjustment set. An unmeasured confounder, such as high D‐dimer, that would be strongly associated with preferential escalation to therapeutic anticoagulation would mean the effect estimates we present here are an underestimate, and adjustment for this confounder would strengthen reported associations. While the effect estimates we derived indicate statistically significant increases in risk associated with high‐dose prophylaxis, we are unable to discern whether this is a true causal effect or due to residual confounding. Therefore, we conclude that our results are not consistent with reduced risk rather than clear evidence of increased risk. Our findings add to a growing body of evidence that has failed to show benefits of intermediate‐dose thromboprophylaxis among adults hospitalized with COVID‐19. , , , , , , , A small clinical trial showed no difference in risk of thrombosis, ECMO, or death between standard and intermediate doses with weight‐based adjustments. In our subgroup analyses, where we applied weight‐based adjustments, we again found increases in risk of therapeutic anticoagulation as a proxy for thrombosis, severe disease, and death. There are several potential explanations for the divergence of our findings from the earlier clinical trial. First, the definitions of the outcomes differed. For example, our definition of severe disease used oxygen support devices more commonly used in the United States such as HFNC and IMV. Second, our observational analysis may suffer from residual confounding by indication, whereby patients with a worse prognosis were preferentially given intermediate doses, and the variables affecting those choices were not captured in our models. Third, the trial had 562 participants and our study had over 50 000 people, and perhaps the increased statistical precision allowed for elucidation of effect. One limitation of this work is the inability to quantify the incidence of thromboembolic events and treatment‐associated major bleeds. We attempted to derive an algorithm consisting of discharge diagnosis codes and imaging procedure codes consistent with the presence of a thrombotic event and time stamps for the initiation of therapeutic anticoagulation. However, most patients had multiple imaging studies, and fewer than 1% of persons were identified with this strategy, whereas the literature suggests as many as 14% of hospitalized patients with COVID‐19 develop venous thromboembolism during their stay. , , , Another limitation was the lack of model fit with the marginal structural model framework, precluding its use as the main analysis. The mean of the stabilized weights indicated remaining residual confounding, and there was a large amount of missingness of the single most important time‐varying covariate, with >50% of people not having a D‐dimer measure at baseline. It is also possible that some of the progressions to therapeutic anticoagulation reflect physician preference to use therapeutic doses for prophylactic purposes, particularly in early months of the pandemic where little was known about the pathophysiology of the novel virus, rather than a true surrogate for thrombotic events. Our conclusions are drawn from 186 hospitals in 20 states, and address facilities both with and without weight‐based anticoagulation protocols. We examined the real‐world experience, in consideration of time‐varying treatment intensity changes, of >50 000 hospitalized adults to directly address a knowledge gap identified by the National Institutes of Health’s COVID‐19 treatment guidelines. The geographic diversity represented by HCA Healthcare includes many medium and large centers concentrated in the southern and western regions of the United States. An additional strength of this work is that nearly half of our cohort identified as a race other than White, and a third identified as Hispanic or Latinx, both of which are high‐risk groups given the disproportionate burden of disease incidence and severity due to systemic racism and other factors. The data period of February 2020 to February 2021 captures a relatively homogenous period in which there was not widespread vaccination nor the delta variant, each of which have important implications for disease presentation and severity. Important questions remain unanswered. We could not answer questions about thromboembolic events, nor major bleeds, given data limitations. We did not consider groups whose anticoagulation protocols substantially differ from the general adult population. More work is needed to understand optimal thromboprophylaxis among people with chronic outpatient anticoagulation use, as well as among people who are pregnant or have severe renal impairment. The impact of center‐level effects, such as clustering by local prescribing patterns or quality indicators of care, requires further understanding as well.

CONCLUSION

This study of >50 000 adults contributes to a growing body of evidence that does not support the use of higher than routine thromboprophylaxis doses in patients hospitalized with COVID‐19.

AUTHOR CONTRIBUTIONS

All authors contributed to study design. KMA, CSJ, HBM, JFB, and MLR derived the analytic cohort. KMA analyzed the data. CSJ reviewed all data reported in the manuscript for accuracy using direct output from the statistical programming software. All authors contributed to data interpretation. KMA, GCA, and BTG wrote the original draft of the manuscript. All authors contributed to the writing, review, and editing of the manuscript, and approved the final text.

RELATIONSHIP DISCLOSURE

CSJ, HBM, AMF, AG, CFL, MLR, YX, and DKN declare no conflicts of interest. After the completion of this work, KMA became a full‐time employee of Pfizer, Inc. MBS has received research support from Janssen, NovoNordisk, Sanofi‐Aventis, and Tremeau Pharmaceuticals; has consulted for Janssen and Pfizer; and has received continuing medical education lecture honoraria from Pfizer. JFB and RCB are entitled to equity and royalty payments from miDiagnostics. RCB is entitled to equity and royalty payments from emocha Health; and is a consultant for Merck & Co, Hologic, Wondros, and Hip Hop Public Health. GCA is a current member and past chair of the Food and Drug Administration’s Peripheral and Central Nervous System Advisory Committee, is a cofounding principal and equity holder in Monument Analytics, a health care consultancy whose clients include the life sciences industry as well as plaintiffs in opioid litigation; and is a past member of OptumRx's National P&T Committee. BTG is a member of the Food and Drug Administration’s Pulmonary and Asthma Drug Advisory Committee and has received consulting fees from Gilead Sciences, Inc., Janssen Research and Development, LLC, and Atea Pharmaceuticals, Inc. These arrangements have been reviewed and approved by Johns Hopkins University in accordance with its conflict‐of‐interest policies.

ETHICS STATEMENT

This research was deemed minimal risk with a waiver of consent by both Johns Hopkins Medicine (IRB00286926) as well as an external institutional review board (WIRB‐Copernicus Group).

TRANSPARENCY STATEMENT

The manuscript's guarantors (KMA, CSJ, GCA, and BTG) affirm that the manuscript is an honest, accurate, and transparent account of the study being reported; that no important aspects of the study have been omitted; and that any discrepancies from the study as planned have been explained. AppendixS1 Click here for additional data file.
  38 in total

1.  Marginal structural models and causal inference in epidemiology.

Authors:  J M Robins; M A Hernán; B Brumback
Journal:  Epidemiology       Date:  2000-09       Impact factor: 4.822

2.  Finding the Optimal Thromboprophylaxis Dose in Patients With COVID-19.

Authors:  Hanny Al-Samkari
Journal:  JAMA       Date:  2021-04-27       Impact factor: 56.272

3.  Pulmonary Embolism in Patients With COVID-19: Awareness of an Increased Prevalence.

Authors:  Julien Poissy; Julien Goutay; Morgan Caplan; Erika Parmentier; Thibault Duburcq; Fanny Lassalle; Emmanuelle Jeanpierre; Antoine Rauch; Julien Labreuche; Sophie Susen
Journal:  Circulation       Date:  2020-04-24       Impact factor: 29.690

4.  Use of Hydroxychloroquine, Remdesivir, and Dexamethasone Among Adults Hospitalized With COVID-19 in the United States : A Retrospective Cohort Study.

Authors:  Hemalkumar B Mehta; Huijun An; Kathleen M Andersen; Omar Mansour; Vithal Madhira; Emaan S Rashidi; Benjamin Bates; Soko Setoguchi; Corey Joseph; Paul T Kocis; Richard Moffitt; Tellen D Bennett; Christopher G Chute; Brian T Garibaldi; G Caleb Alexander
Journal:  Ann Intern Med       Date:  2021-08-17       Impact factor: 51.598

5.  Endotheliopathy in COVID-19-associated coagulopathy: evidence from a single-centre, cross-sectional study.

Authors:  George Goshua; Alexander B Pine; Matthew L Meizlish; C-Hong Chang; Hanming Zhang; Parveen Bahel; Audrey Baluha; Noffar Bar; Robert D Bona; Adrienne J Burns; Charles S Dela Cruz; Anne Dumont; Stephanie Halene; John Hwa; Jonathan Koff; Hope Menninger; Natalia Neparidze; Christina Price; Jonathan M Siner; Christopher Tormey; Henry M Rinder; Hyung J Chun; Alfred I Lee
Journal:  Lancet Haematol       Date:  2020-06-30       Impact factor: 18.959

6.  High risk of thrombosis in patients with severe SARS-CoV-2 infection: a multicenter prospective cohort study.

Authors:  Julie Helms; Charles Tacquard; François Severac; Ian Leonard-Lorant; Mickaël Ohana; Xavier Delabranche; Hamid Merdji; Raphaël Clere-Jehl; Malika Schenck; Florence Fagot Gandet; Samira Fafi-Kremer; Vincent Castelain; Francis Schneider; Lélia Grunebaum; Eduardo Anglés-Cano; Laurent Sattler; Paul-Michel Mertes; Ferhat Meziani
Journal:  Intensive Care Med       Date:  2020-05-04       Impact factor: 17.440

7.  Anticoagulation in COVID-19: Effect of Enoxaparin, Heparin, and Apixaban on Mortality.

Authors:  Henny H Billett; Morayma Reyes-Gil; James Szymanski; Kenji Ikemura; Lindsay R Stahl; Yungtai Lo; Shafia Rahman; Jesus D Gonzalez-Lugo; Margarita Kushnir; Mohammad Barouqa; Ladan Golestaneh; Eran Bellin
Journal:  Thromb Haemost       Date:  2020-11-13       Impact factor: 5.249

8.  Long-term use of immunosuppressive medicines and in-hospital COVID-19 outcomes: a retrospective cohort study using data from the National COVID Cohort Collaborative.

Authors:  Kathleen M Andersen; Benjamin A Bates; Emaan S Rashidi; Amy L Olex; Roslyn B Mannon; Rena C Patel; Jasvinder Singh; Jing Sun; Paul G Auwaerter; Derek K Ng; Jodi B Segal; Brian T Garibaldi; Hemalkumar B Mehta; G Caleb Alexander
Journal:  Lancet Rheumatol       Date:  2021-11-15

9.  Therapeutic Anticoagulation with Heparin in Critically Ill Patients with Covid-19.

Authors:  Ewan C Goligher; Charlotte A Bradbury; Bryan J McVerry; Patrick R Lawler; Jeffrey S Berger; Michelle N Gong; Marc Carrier; Harmony R Reynolds; Anand Kumar; Alexis F Turgeon; Lucy Z Kornblith; Susan R Kahn; John C Marshall; Keri S Kim; Brett L Houston; Lennie P G Derde; Mary Cushman; Tobias Tritschler; Derek C Angus; Lucas C Godoy; Zoe McQuilten; Bridget-Anne Kirwan; Michael E Farkouh; Maria M Brooks; Roger J Lewis; Lindsay R Berry; Elizabeth Lorenzi; Anthony C Gordon; Tania Ahuja; Farah Al-Beidh; Djillali Annane; Yaseen M Arabi; Diptesh Aryal; Lisa Baumann Kreuziger; Abi Beane; Zahra Bhimani; Shailesh Bihari; Henny H Billett; Lindsay Bond; Marc Bonten; Frank Brunkhorst; Meredith Buxton; Adrian Buzgau; Lana A Castellucci; Sweta Chekuri; Jen-Ting Chen; Allen C Cheng; Tamta Chkhikvadze; Benjamin Coiffard; Aira Contreras; Todd W Costantini; Sophie de Brouwer; Michelle A Detry; Abhijit Duggal; Vladimír Džavík; Mark B Effron; Heather F Eng; Jorge Escobedo; Lise J Estcourt; Brendan M Everett; Dean A Fergusson; Mark Fitzgerald; Robert A Fowler; Joshua D Froess; Zhuxuan Fu; Jean P Galanaud; Benjamin T Galen; Sheetal Gandotra; Timothy D Girard; Andrew L Goodman; Herman Goossens; Cameron Green; Yonatan Y Greenstein; Peter L Gross; Rashan Haniffa; Sheila M Hegde; Carolyn M Hendrickson; Alisa M Higgins; Alexander A Hindenburg; Aluko A Hope; James M Horowitz; Christopher M Horvat; David T Huang; Kristin Hudock; Beverley J Hunt; Mansoor Husain; Robert C Hyzy; Jeffrey R Jacobson; Devachandran Jayakumar; Norma M Keller; Akram Khan; Yuri Kim; Andrei Kindzelski; Andrew J King; M Margaret Knudson; Aaron E Kornblith; Matthew E Kutcher; Michael A Laffan; Francois Lamontagne; Grégoire Le Gal; Christine M Leeper; Eric S Leifer; George Lim; Felipe Gallego Lima; Kelsey Linstrum; Edward Litton; Jose Lopez-Sendon; Sylvain A Lother; Nicole Marten; Andréa Saud Marinez; Mary Martinez; Eduardo Mateos Garcia; Stavroula Mavromichalis; Daniel F McAuley; Emily G McDonald; Anna McGlothlin; Shay P McGuinness; Saskia Middeldorp; Stephanie K Montgomery; Paul R Mouncey; Srinivas Murthy; Girish B Nair; Rahul Nair; Alistair D Nichol; Jose C Nicolau; Brenda Nunez-Garcia; John J Park; Pauline K Park; Rachael L Parke; Jane C Parker; Sam Parnia; Jonathan D Paul; Mauricio Pompilio; John G Quigley; Robert S Rosenson; Natalia S Rost; Kathryn Rowan; Fernanda O Santos; Marlene Santos; Mayler O Santos; Lewis Satterwhite; Christina T Saunders; Jake Schreiber; Roger E G Schutgens; Christopher W Seymour; Deborah M Siegal; Delcio G Silva; Aneesh B Singhal; Arthur S Slutsky; Dayna Solvason; Simon J Stanworth; Anne M Turner; Wilma van Bentum-Puijk; Frank L van de Veerdonk; Sean van Diepen; Gloria Vazquez-Grande; Lana Wahid; Vanessa Wareham; R Jay Widmer; Jennifer G Wilson; Eugene Yuriditsky; Yongqi Zhong; Scott M Berry; Colin J McArthur; Matthew D Neal; Judith S Hochman; Steven A Webb; Ryan Zarychanski
Journal:  N Engl J Med       Date:  2021-08-04       Impact factor: 176.079

10.  Therapeutic Anticoagulation with Heparin in Noncritically Ill Patients with Covid-19.

Authors:  Patrick R Lawler; Ewan C Goligher; Jeffrey S Berger; Matthew D Neal; Bryan J McVerry; Jose C Nicolau; Michelle N Gong; Marc Carrier; Robert S Rosenson; Harmony R Reynolds; Alexis F Turgeon; Jorge Escobedo; David T Huang; Charlotte A Bradbury; Brett L Houston; Lucy Z Kornblith; Anand Kumar; Susan R Kahn; Mary Cushman; Zoe McQuilten; Arthur S Slutsky; Keri S Kim; Anthony C Gordon; Bridget-Anne Kirwan; Maria M Brooks; Alisa M Higgins; Roger J Lewis; Elizabeth Lorenzi; Scott M Berry; Lindsay R Berry; Aaron W Aday; Farah Al-Beidh; Djillali Annane; Yaseen M Arabi; Diptesh Aryal; Lisa Baumann Kreuziger; Abi Beane; Zahra Bhimani; Shailesh Bihari; Henny H Billett; Lindsay Bond; Marc Bonten; Frank Brunkhorst; Meredith Buxton; Adrian Buzgau; Lana A Castellucci; Sweta Chekuri; Jen-Ting Chen; Allen C Cheng; Tamta Chkhikvadze; Benjamin Coiffard; Todd W Costantini; Sophie de Brouwer; Lennie P G Derde; Michelle A Detry; Abhijit Duggal; Vladimír Džavík; Mark B Effron; Lise J Estcourt; Brendan M Everett; Dean A Fergusson; Mark Fitzgerald; Robert A Fowler; Jean P Galanaud; Benjamin T Galen; Sheetal Gandotra; Sebastian García-Madrona; Timothy D Girard; Lucas C Godoy; Andrew L Goodman; Herman Goossens; Cameron Green; Yonatan Y Greenstein; Peter L Gross; Naomi M Hamburg; Rashan Haniffa; George Hanna; Nicholas Hanna; Sheila M Hegde; Carolyn M Hendrickson; R Duncan Hite; Alexander A Hindenburg; Aluko A Hope; James M Horowitz; Christopher M Horvat; Kristin Hudock; Beverley J Hunt; Mansoor Husain; Robert C Hyzy; Vivek N Iyer; Jeffrey R Jacobson; Devachandran Jayakumar; Norma M Keller; Akram Khan; Yuri Kim; Andrei L Kindzelski; Andrew J King; M Margaret Knudson; Aaron E Kornblith; Vidya Krishnan; Matthew E Kutcher; Michael A Laffan; Francois Lamontagne; Grégoire Le Gal; Christine M Leeper; Eric S Leifer; George Lim; Felipe Gallego Lima; Kelsey Linstrum; Edward Litton; Jose Lopez-Sendon; Jose L Lopez-Sendon Moreno; Sylvain A Lother; Saurabh Malhotra; Miguel Marcos; Andréa Saud Marinez; John C Marshall; Nicole Marten; Michael A Matthay; Daniel F McAuley; Emily G McDonald; Anna McGlothlin; Shay P McGuinness; Saskia Middeldorp; Stephanie K Montgomery; Steven C Moore; Raquel Morillo Guerrero; Paul R Mouncey; Srinivas Murthy; Girish B Nair; Rahul Nair; Alistair D Nichol; Brenda Nunez-Garcia; Ambarish Pandey; Pauline K Park; Rachael L Parke; Jane C Parker; Sam Parnia; Jonathan D Paul; Yessica S Pérez González; Mauricio Pompilio; Matthew E Prekker; John G Quigley; Natalia S Rost; Kathryn Rowan; Fernanda O Santos; Marlene Santos; Mayler Olombrada Santos; Lewis Satterwhite; Christina T Saunders; Roger E G Schutgens; Christopher W Seymour; Deborah M Siegal; Delcio G Silva; Manu Shankar-Hari; John P Sheehan; Aneesh B Singhal; Dayna Solvason; Simon J Stanworth; Tobias Tritschler; Anne M Turner; Wilma van Bentum-Puijk; Frank L van de Veerdonk; Sean van Diepen; Gloria Vazquez-Grande; Lana Wahid; Vanessa Wareham; Bryan J Wells; R Jay Widmer; Jennifer G Wilson; Eugene Yuriditsky; Fernando G Zampieri; Derek C Angus; Colin J McArthur; Steven A Webb; Michael E Farkouh; Judith S Hochman; Ryan Zarychanski
Journal:  N Engl J Med       Date:  2021-08-04       Impact factor: 176.079

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.