Literature DB >> 32911000

Oral anticoagulation and clinical outcomes in COVID-19: An Italian multicenter experience.

Marco Schiavone1, Alessio Gasperetti1, Massimo Mancone2, Antonio Curnis3, Giosuè Mascioli4, Gianfranco Mitacchione1, Mattia Busana5, Federica Sabato1, Cecilia Gobbi6, Spinello Antinori7, Massimo Galli7, Giovanni Battista Forleo8.   

Abstract

BACKGROUND: Since the body of evidence addressing the coagulation derangements caused by Coronavirus disease (COVID-19) has been constantly growing, we investigated whether pre-hospitalization oral anticoagulation (OAC) or in-hospital heparin treatment could have a protective role among COVID-19 patients.
METHOD: In this cohort study, consecutive COVID-19 patients admitted to four different Italian Institutions were enrolled. Baseline demographic, clinical, laboratory, and radiological characteristics, as well as in-hospital treatment and outcomes were evaluated. The primary outcome was mortality.
RESULTS: A total of 844 COVID-19 patients were enrolled as study cohort, n = 65 (7.7%) taking OACs prior to hospitalization. Regarding clinical outcomes, OAC patients developed acute hypoxemic respiratory failure (AHRF) more frequently than non-OAC patients as well as presenting a higher mortality rate (44.6% vs 19.8%, p < 0.001). At overall multivariate logistical regression, use of heparin (n = 394, 46.6%) was associated with a better chance of survival to hospital discharge (OR 0.60 [0.38-0.94], p < 0.001), in particular in patients with AHRF, with no association found with the use of OACs. In a sub-analysis, the highest mortality rate was found for AHRF patients when heparin was not administered.
CONCLUSION: In our cohort, OACs appeared to be ineffective in reducing mortality rate, while heparin resulted to be a useful treatment when lung disease was sufficiently severe, potentially suggesting a crucial role of microthrombosis in severe COVID-19. Due to the relatively small number of COVID-19 patients treated with OACs included in our analysis and their higher number of comorbidities, larger studies are needed in order to confirm our findings.
Copyright © 2020. Published by Elsevier B.V.

Entities:  

Keywords:  Anticoagulation; COVID-19; Coagulopathy; Heparin; Microthrombosis; Oral anticoagulants

Mesh:

Substances:

Year:  2020        PMID: 32911000      PMCID: PMC7476907          DOI: 10.1016/j.ijcard.2020.09.001

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN: 0167-5273            Impact factor:   4.164


Introduction

The body of evidence addressing the coagulation derangements caused by Coronavirus disease (COVID-19) has been constantly growing. In vitro studies have shown that coronavirus infection promotes the activation of the coagulation cascade and remodeling of the extracellular matrix [1]. Additionally, COVID-19 has been associated to venous and arterial thromboembolic events in up to 21–25% of cases [[2], [3], [4], [5]], especially in intensive care unit (ICU) patients, due to additional well-known risk factors for thromboembolism (e.g. severe hypoxia, vascular damage, prolonged bed-rest, and advanced age). Therefore, it has been postulated that the excess mortality of COVID-19 may be related to the severe hypercoagulability more than to the respiratory failure per se, although its pathophysiology has not been properly understood. Hence, we investigated whether pre-hospitalization oral anticoagulation (OAC) could have a protective role in reducing mortality among patients admitted for COVID-19 and whether, in our cohort, heparin may confirm its presumptive beneficial role [6].

Methods

Consecutive confirmed cases (≥ 18 years old) of COVID-19 admitted to four Italian Institutions (Luigi Sacco Hospital, Milan; Policlinico Umberto I, Rome; Spedali Civili, Brescia; Humanitas Gavazzeni Hospital, Bergamo) between February 23, 2020 and April 1, 2020 were recruited. Data were retrospectively analyzed. A confirmed case of COVID-19 was defined by a positive result on a reverse-transcriptase-polymerase-chain-reaction assay performed on a nasopharyngeal swab, in accordance with World Health Organization (WHO) guidelines. All patients still hospitalized or with an incomplete follow-up were excluded. Acute hypoxemic respiratory failure (AHRF) was defined with PaO2/FiO2 ratio < 300. The primary outcome was mortality. Categorical variables are reported as counts (percentage). Normality of distribution was tested for all continuous variables using a Shapiro-Wilk test. Continuous variables are reported as mean ± standard deviation (s.d.) or as median [inter-quartile range, IQR] if normally or non-normally distributed, respectively. Comparisons were performed using a student t-test, a Mann Whitney U test, a Chi Square test, or a Fisher exact test, as appropriate. A multivariate logistic regression was performed to test the association between outcomes (mortality) and cardiovascular risk factors and/or parameters of clinical interest for COVID-19 patients; strength of association is reported using odds ratios (OR). A by group survival analysis was performed using Kaplan Meier curves. Multivariate Cox regression model was utilized to determine the independent risk factors for mortality. A two-tailed p value <0.05 was deemed as statistically significant. All statistical analysis were performed using STATA version 14.0 (Stata Corp, TX, USA).

Results

A total of 844 COVID-19 patients were enrolled as study cohort, n = 65 (7.7%) taking OACs prior to hospitalization (n = 22, 33.8% vitamin-K antagonists; n = 43, 66.2% direct OACs). Baseline clinical variables, drug therapy and clinical outcomes during hospital stay are summarized in Table 1 . OAC patients were older than non-OAC patients (76.7 ± 11.6 vs 62.3 ± 15.19 years, p < 0.001) and presented more comorbidities, such as atrial fibrillation (AF) (83.1% vs 3.1%, p < 0.001). OAC patients were more likely to have lower PaO2/FiO2 ratio (268 [148-340] vs 314 [193-386], p 0.033), worse chest x-ray severity (Taylor et al. score 3 [[2], [3], [4]] vs 2 [2,3]; p = 0.034) and lower D-dimer levels on admission (567 [239-893] vs 1017 [471-2736] ng/mL, p = 0.027). Median in-hospital stay was not significantly different in the two groups, as well as admission to ICU (3.08% vs 5.65%, p = 0.380). On the other hand, OAC patients developed AHRF and myocardial injury more often (44.6% vs 19.8%, p < 0.001; 16.92% vs 11.05%, p = 0.154) than non-OAC patients and needed non-invasive ventilation more frequently (47.7% vs 33.0%, p = 0.016). A total of 183 (21.86%) patients died, with OAC patients presenting a higher mortality rate (44.6% vs 19.8%, p < 0.001). At overall multivariate logistical regression, AHRF (OR: 13.2 [8.3–21.6], p < 0.001), age > 65 years, male gender, and history of CAD resulted independently and significantly associated with an increased risk of death during hospitalization, while, interestingly, use of heparin (n = 394, 46.6%) was associated with a better chance of survival to hospital discharge (OR 0.60 [0.38–0.94], p < 0.001), with no association with the use of OACs (Fig. 1A). A stratification of in-hospital mortality based on PaO2/FiO2 ratio is reported in Fig. 1B: as shown, the use of in-hospital heparin was protective in patients with AHRF but not in patients with PaO2/FiO2 ratio > 300 (p for interaction between heparin and PaO2/FiO2 < 300 < 0.001). The entire model has been reported in Supplementary Data. In a sub-analysis, Kaplan-Meier survival curves, stratified on OAC patients who were or were not switched to heparin during hospitalization, showed reduced survival rates in the latter group (Fig. 1C). Moreover, analyzing heparin administration in the presence or absence of AHRF (Fig. 1D), the highest mortality rate was found for AHRF patients when heparin was not administered (in particular, AHRF with vs without heparin treatment p < 0.001).
Table 1

Baseline characteristics of the study cohort, drug therapy and clinical outcomes during hospital stay.

Overall (n = 844)OAC (n = 65)No-OAC (n = 779)p
Age (years), mean ±  s.d.63.4 ± 16.176.7 ± 11.662.3 ± 15.9<0.001
Sex (male), n (%)521 (61.7)474 (60.9)47 (72.3)0.068
Main cardiovascular risk factors, n (%)
 Hypertension381 (45.1)48 (73.9)333 (42.8)<0.001
 Diabetes140 (16.6)17 (26.2)27123 (15.8)0.031
 Dyslipidemia201 (23.8)(41.5)174 (22.3)<0.001
 Smoke94 (11.1)8 (12.3)86 (11.0)0.755
 Obesity79 (9.4)10 (15.4)69 (8.9)0.083
Comorbidities, n (%)
 Heart failure78 (3916 (24.6)23 (3)<0.001
 History of atrial fibrillation(4.6)9.2)54 (83.1)24 (3.1)<0.001
 Chronic kidney disease63 (7.5)12 (18.5)51 (6.6)<0.001
 Chronic obstructive pulmonary disease62 (7.4)17 (26.2)45 (5.8)<0.001
 Coronary artery disease112 (13.3)19 (29.2)93 (11.9)<0.001
 Stroke33 (3.9)10 (15.4)23 (2.9)<0.001
Drug therapy, n (%)
 ACE-inhibitors122 (14.47)19 (29.3)103 (13.24)<0.001
 ARBs119 (14.1)14 (21.5)105 (13.75)0.007
 Beta-blockers142 (16.8)20 (30.8)122 (15.7)0.002
 Calcium-antagonists105 (12.4)15 (23.1)90 (11.6)0.007
 Diuretics136 (16.1)27 (41.5)109 (14.0)<0.001
 VKAs22 (2.6)22 (33.8)NANA
 DOACs43 (5.1)43 (66.2)NANA
 Antiplatelets130 (15.4)19 (29.2)111 (14.3)<0.001
 Statins177 (21.0)25 (38.5)152 (19.5)<0.001
 AADs24 (2.8)12 (18.5)12 (1.5)<0.001
Laboratory findings, median [IQR]
 WBC (109/L)6.0 [4.7–8.3]6.05 [4.63–7.93]5.97 [4.69–8.3]0.873
 Hb (g/dl)13.7 [12.5–14.8]12.6[11.1–14.2]13.7 [12.6–14.8]<0.001
 Platelets (109/L)195 [152–260]164[142–245]195 [153–260]0.039
 Creatinine (mg/dl)0.95 [0.79–1.15]1.1[0.9–1.7]0.93 [0.78–1.12]<0.001
 D-dimer (μg/L)883 [420–2357]567[239–893]1017[471–2736]0.027
 LDH (U/L)318 [239–430]346.5 [284–443]316 [238–430]0.076
 ALT (U/L)29 [19–47]23 [17–37]29 [20–48]0.015
 CRP (mg/L)19.0 [6.4–67.7]20.2 [8.3–81.8]19 [6.1–67]0.427
Chest radiograph severity scoring system (Taylor et. al), median [IQR]2 [2–3]3 [2–4]2 [2–3]0.034
Symptom onset to admission (days), median [IQR]7 [3−10]6 [3–9.5]7 [3–10]0.811
Arterial blood gas analysis
 SaO2 (%), median [IQR]96 [93–98]94 [88–96]96 [93–98]0.001
 paO2/FiO2, median [IQR]310 [190–385]268 [148–340]314 [192–386]0.033
Drug therapy, n (%)
 Antibiotics373(44.2)35(53.8)338 (43.4)0.103
 Antivirals467 (55.3)41 (63.1)426(54.7)0.191
 Steroids93 (11.0)6 (9.2)87(11.2)0.632
 Hydroxychloroquine681(80.7)56 (86.1625 (80.2)0.245
 Tocilizumab127(15.0)7(10.8)120(15.4)0.315
 Heparin394(46.7)37 (56.9)375 (45.8)0.085
Myocardial injury, n (%)97 (11.5)11(16.9)86 (11.0)0.154
Intensive care unit admission, n (%)46 (5.4)2(3.1)44(5.65)0.380
Non-invasive ventilation, n (%)288(34.1)31 (47.7)257(33)0.016
Acute respiratory distress syndrome, n (%)183 (21.7)29(44.6)154 (19.8)<0.001
Hospital length of stay (days), median [IQR]9 [5–15]9 [5–14]9 [5–15]0.933
Deaths, n (%)183 (21.7)29(44.6)154(19.8)<0.001

Abbreviations

AADs: antiarrhythmic drugs

ACE: angiotensin-converting enzyme

ALT: alanine aminotransferase

ARBs: angiotensin II receptor blockers

CRP: C-reactive protein

DOAC: direct anticoagulants

FiO2: fraction of inspired oxygen

Hb: hemoglobin

IQR: interquartile range

LDH: lactate dehydrogenase

NA: not available

s.d.: standard deviation

OAC: anticoagulants

paCO2: partial pressure of carbon dioxide in arterial blood

paO2: partial pressure of oxygen in arterial blood

SaO2: oxygen saturation

VKAs: vitamin k antagonists

WBC: white blood cells.

Fig. 1

panel A-B-C-D.

Panel A-B: multivariable logistic-regression analysis showing independent overall (panel A) and by group (panel B) predictors of in-hospital death.

Panel C: Kaplan–Meier curves depicting mortality rates for OAC patients who were or were not switched to heparin during hospitalization. Log rank p for every group: No HEP/No AHRF vs No HEP/AHRF p < 0.001; No HEP/No AHRF vs HEP/No AHRF p < 0.585; No HEP/No AHRF vs HEP/AHRF p < 0.001; No HEP/AHRF vs HEP/No AHRF p < 0.001; No HEP/AHRF vs HEP/AHRF p < 0.001; HEP/No AHRF vs HEP/AHRF p < 0.001.

By group hazard ratios: No HEP/No AHRF 0.215 (CI 0.125–0.371); HEP/No AHRF 0.196 (CI 0.117–0.330); No HEP/AHRF 6.439 (CI 4.668–8.882); HEP/AHRF 0.869 (CI 1.367–2.557). All p < 0.01.

Panel D: Kaplan–Meier curves depicting mortality rates for patients who were or were not treated with heparin during hospitalization in the presence or absence of AHRF. Hazard ratio for switching from OACs to HEP: 0.213 (CI 0.079–0.575, p < 0.001).

Abbreviations

AHRF: acute hypoxemic respiratory failure

CAD: coronary artery disease

CI: confidence interval

CKD: chronic kidney disease

COPD: chronic obstructive pulmonary disease

HCQ: hydroxychloroquine

HEP: heparin

HF: heart failure

LPV/RTV: lopinavir/ritonavir

OAC: oral anticoagulant

P/F: PaO2/FiO2 ratio

TCZ: tocilizumab

ys: years.

Baseline characteristics of the study cohort, drug therapy and clinical outcomes during hospital stay. Abbreviations AADs: antiarrhythmic drugs ACE: angiotensin-converting enzyme ALT: alanine aminotransferase ARBs: angiotensin II receptor blockers CRP: C-reactive protein DOAC: direct anticoagulants FiO2: fraction of inspired oxygen Hb: hemoglobin IQR: interquartile range LDH: lactate dehydrogenase NA: not available s.d.: standard deviation OAC: anticoagulants paCO2: partial pressure of carbon dioxide in arterial blood paO2: partial pressure of oxygen in arterial blood SaO2: oxygen saturation VKAs: vitamin k antagonists WBC: white blood cells. panel A-B-C-D. Panel A-B: multivariable logistic-regression analysis showing independent overall (panel A) and by group (panel B) predictors of in-hospital death. Panel C: Kaplan–Meier curves depicting mortality rates for OAC patients who were or were not switched to heparin during hospitalization. Log rank p for every group: No HEP/No AHRF vs No HEP/AHRF p < 0.001; No HEP/No AHRF vs HEP/No AHRF p < 0.585; No HEP/No AHRF vs HEP/AHRF p < 0.001; No HEP/AHRF vs HEP/No AHRF p < 0.001; No HEP/AHRF vs HEP/AHRF p < 0.001; HEP/No AHRF vs HEP/AHRF p < 0.001. By group hazard ratios: No HEP/No AHRF 0.215 (CI 0.125–0.371); HEP/No AHRF 0.196 (CI 0.117–0.330); No HEP/AHRF 6.439 (CI 4.668–8.882); HEP/AHRF 0.869 (CI 1.367–2.557). All p < 0.01. Panel D: Kaplan–Meier curves depicting mortality rates for patients who were or were not treated with heparin during hospitalization in the presence or absence of AHRF. Hazard ratio for switching from OACs to HEP: 0.213 (CI 0.079–0.575, p < 0.001). Abbreviations AHRF: acute hypoxemic respiratory failure CAD: coronary artery disease CI: confidence interval CKD: chronic kidney disease COPD: chronic obstructive pulmonary disease HCQ: hydroxychloroquine HEP: heparin HF: heart failure LPV/RTV: lopinavir/ritonavir OAC: oral anticoagulant P/F: PaO2/FiO2 ratio TCZ: tocilizumab ys: years.

Discussion

The findings of this study can be summarized as follows: (I) 7.7% of hospitalized COVID-19 patients were on OAC at hospital admission; (II) 46.6% of our cohort was treated with heparin during hospitalization, either at anticoagulant dose, if switched from domiciliary OAC (n = 37) or in case of new onset AF and pulmonary embolism, or at prophylactic dose in all other cases; (III) while OAC therapy did not show a protective effect, the subsequent use of heparin during the hospital stay seemed to be associated with survival in patients with AHRF. Given the prothrombotic asset of COVID-19 patients, clearly demonstrated in post-mortem reports [7,8], Barnes et al. recommended VTE prophylaxis for all hospitalized COVD-19 patients and switching OAC patients to shorter acting agents (e.g., low-molecular or unfractionated heparin) during hospitalization in case of clinical deterioration, changes in renal function, or need for invasive procedures [6]. It has to be underlined though, that these recommendations were lacking in the early phase of the pandemic, and given the interactions between some antiviral drugs and OACs [9], heparins were often preferred. As with every drug, the benefits of heparin administration should be carefully evaluated against the increased risk of bleeding, to which a large proportion of patients may be unnecessarily be exposed. Indeed, Tang et al. showed that heparin administration was beneficial only in patients with high D-dimer levels and in case of sepsis-induced coagulopathy [10]. On the other hand, Whyte et al. proposed even fibrinolytic agents such as tissue-type plasminogen activator to treat COVID-19 patients with coagulopathy [11]. If such prothrombotic asset is a key feature of COVID-19, one may expect that other forms of anticoagulation may be beneficial. In contrast with the smaller cohort from Rossi et al. [12], we found no beneficial effect regarding in-hospital mortality among patients receiving OACs, whereas mortality rate was significantly reduced with the in-hospital heparin administration, but only in those patients who presented AHFR upon admission. The key physiopathological question, is whether the protective role of heparin, only in patients that are also hypoxemic, is simply due to the association between the pneumonia severity and the concurrent hypercoagulable state or the hypercoagulability is itself a cause of hypoxemia. Indeed, overt pulmonary embolism is present in a minority of the patients at admission, but microthrombi below the resolution of the contrast computed tomography (CT) may cause ventilation-perfusion mismatch and, therefore, concur to hypoxemia. Other mechanisms, though speculative, may play a role: heparan sulfate proteoglycans are involved in severe acute respiratory syndrome coronavirus (SARS-CoV) and Human Coronavirus NL63 cell entry [13,14] so that heparin may prevent binding of spike protein to host cells, as well as interacting with SARS-CoV-2 spike S1 receptor binding domain [15]. Moreover, heparin exhibits anti-inflammatory effects [16], inhibiting inflammatory cell infiltration and dampening pro-inflammatory signals, that may be pivotal in determining different outcomes compared to OACs. Our study has some limitations: due to the relatively small sample size of OAC patients, our findings of no mortality benefit with OACs compared to heparin may be underpowered and potentially confounded, considering proper statistical adjustments used to account for all the considered imbalances and baseline comorbidities. Additionally, the observational nature of our registry cannot prove a causal relationship between OAC and heparin administration and reduced mortality. Nevertheless, our findings confirm the need for randomized trials in support of in-hospital use of oral and parenteral anticoagulants.

Conclusion

In our cohort, OACs appeared to be ineffective in reducing mortality rate, even among patients with more severe AHRF, while heparin resulted to be a useful treatment when lung disease was sufficiently severe, potentially suggesting a crucial role of microthrombosis in severe COVID-19. Due to the relatively small number of COVID-19 patients treated with OACs included in our analysis and their higher number of comorbidities, larger studies are needed in order to confirm our findings. Possible mechanisms underlying the role of OAC and heparin in VTE prophylaxis and lung microthrombosis need to be further investigated with randomized trials.

Disclosures

The authors report no relationships that could be construed as a conflict of interest.

Funding

The authors received no specific funding for this work.

Authors statement

All authors take responsibility for all aspects of the reliability and freedom from bias of the data presented and their discussed interpretation.
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Journal:  Aging Clin Exp Res       Date:  2021-07-03       Impact factor: 3.636

9.  Impact of pre-admission antithrombotic therapy on disease severity and mortality in patients hospitalized for COVID-19.

Authors:  Mariana Corrochano; René Acosta-Isaac; Sergi Mojal; Sara Miqueleiz; Diana Rodriguez; María Ángeles Quijada-Manuitt; Edmundo Fraga; Marta Castillo-Ocaña; Kristopher Amaro-Hosey; Nil Albiol; José Manuel Soria; Rosa Maria Antonijoan; Joan Carles Souto
Journal:  J Thromb Thrombolysis       Date:  2021-06-17       Impact factor: 2.300

10.  Direct oral anticoagulant use and risk of severe COVID-19.

Authors:  B Flam; V Wintzell; J F Ludvigsson; J Mårtensson; B Pasternak
Journal:  J Intern Med       Date:  2020-12-19       Impact factor: 13.068

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