Literature DB >> 34216379

Does chronic oral anticoagulation reduce in-hospital mortality among COVID-19 older patients?

Marcello Covino1,2, Giuseppe De Matteis3, Davide Della Polla1, Maria Livia Burzo4,5, Marco Maria Pascale1, Michele Santoro1, Raimondo De Cristofaro2,6, Antonio Gasbarrini2,7, Erica De Candia2,6, Francesco Franceschi1,2.   

Abstract

BACKGROUND: Patients hospitalized with COVID-19 experienced an increased risk of venous thromboembolism. AIMS: To evaluate the effect of chronic oral anticoagulation (OAC) therapy, both with vitamin K antagonists (VKAs) or direct oral anticoagulants (DOACs), on prognosis of COVID-19 older patients.
METHODS: Single-center prospective study conducted in the Emergency Department (ED) of a teaching hospital, referral center for COVID-19 in central Italy. We evaluated all the patients ≥ 65 years, consecutively admitted to our ED for confirmed COVID-19. We compared the clinical outcome of those who were on chronic OAC at ED admission with those who did not, using a propensity score matched paired cohort of controls. The primary study endpoint was all-cause in-hospital death. Patients were matched for age, sex, clinical comorbidities, and clinical severity at presentation (based on NEWS ≥ 6). Study parameters were assessed for association to all-cause in-hospital death by a multivariate Cox regression analysis to identify independent risk factor for survival.
RESULTS: Although overall mortality was slightly higher for anticoagulated patients compared to controls (63.3% vs 43.5%, p = 0.012), the multivariate adjusted hazard ratio (HR) for death was not significant (HR = 1.56 [0.78-3.12]; p = 0.208). Both DOACs (HR 1.46 [0.73-2.92]; p = 0.283) and VKAs (HR 1.14 [0.48-2.73]; p = 0.761) alone did not affect overall survival in our cohort.
CONCLUSIONS: Among older patients hospitalized for COVID-19, chronic OAC therapy was not associated with a reduced risk of in-hospital death. Moreover, our data suggest similar outcome both for patients on VKAs or in patients on DOACs.
© 2021. The Author(s), under exclusive licence to Springer Nature Switzerland AG.

Entities:  

Keywords:  COVID-19; Direct oral anticoagulants; Older patients; Oral anticoagulation; Vitamin k antagonists

Mesh:

Substances:

Year:  2021        PMID: 34216379      PMCID: PMC8254066          DOI: 10.1007/s40520-021-01924-w

Source DB:  PubMed          Journal:  Aging Clin Exp Res        ISSN: 1594-0667            Impact factor:   3.636


Introduction

The novel coronavirus designated SARS-CoV-2, that emerged in late 2019, has caused the current outbreak of respiratory illness named COVID-19 [1]. Although the vaccination campaigns have been started few months ago, the number of infected people and death toll is still on the rise worldwide [2]. Italy is facing one of the largest clusters of COVID-19, and mortality burden is extremely high [3], especially among older people and those with multiple comorbidities [4, 5]. In particular, pre-existing cardiovascular diseases have proved to be one of the main predictors of poor prognosis in COVID-19 patients [4, 5]. Previous studies demonstrated that SARS-CoV-2 infection could lead to extensive vascular inflammation and endothelial dysfunction, with a consequent hypercoagulable state leading to the development of micro- and macro-thrombosis, in vessels of both lungs and extrapulmonary organs [6]. Indeed, early reports had shown that hospitalized patients with COVID-19 experienced an increased risk of venous thromboembolism [7]. Similarly, recent evidences showed that the prevalence of macrovascular thrombotic complications are higher than expected in patients with COVID-19, mostly in the case of severe disease [8]. As a consequence, the role of a procoagulant state in the pathophysiology of severe COVID-19 has led physicians to use anticoagulation as a therapeutic option even if the possible beneficial role of the antithrombotic therapy in COVID-19 patients is a matter of an ongoing debate and definitive evidence is still lacking [9, 10]. However, since such hypercoagulable state could affect prognosis of patients hospitalized with COVID-19, the question has been raised whether chronic oral anticoagulation (OAC) therapy, in use for standard indications prior the SARS-CoV-2 infection, could have a protective role in reducing mortality or if these patients remain at high risk of death due to aging and multi-morbidity. Thus, the aim of this study is to evaluate if chronic OAC therapy, either with vitamin K antagonists (VKAs) or direct oral anticoagulants (DOACs), could affect prognosis among patients aged 65 years or older hospitalized with COVID-19.

Materials and methods

Study population and design

This is a single-center, retrospective observational study, conducted in the emergency department (ED) of an urban teaching hospital, which is a referral center for COVID-19, in central Italy. We evaluated all the patients ≥ 65 years, consecutively admitted to our ED for confirmed COVID-19 from March 15th to December 31st, 2020. COVID-19 was diagnosed on the basis of the WHO interim guidance. We included in the analysis only patients with positive result on real-time reverse-transcriptase–polymerase-chain-reaction assay of nasal and pharyngeal swab specimens [11].

Study variables

The following information were evaluated: Demographic: age, sex. Clinical presentation at ED admission: fever, dyspnea, cough, diarrhea, confusion, ageusia/anosmia, asthenia/myalgia. Clinical history and comorbidities. Hypertension, history of coronary artery disease (CAD), congestive heart failure, cerebrovascular disease, dementia, diabetes, chronic obstructive pulmonary disease (COPD), chronic kidney disease, malignancy. Overall comorbidity presence was assessed by Charlson Comorbidity index (CCI). Radiological findings defined as: negative, interstitial involvement, and consolidative pneumonia. Physiological parameters at ED admission: body temperature, heart rate (HR), respiratory rate (RR), systolic blood pressure (SBP), level of consciousness assessed by the response on AVPU (Alert, Voice, Pain, Unresponsive) scale, peripheral oxygen saturation (SpO2) in ambient air. Based on physiological parameters, the national early warning score (NEWS) was obtained for all patients [12]. Laboratory values. For all patients, we evaluated total white cell blood (WBC) count, lymphocyte count, creatinine, blood urea nitrogen (BUN), lactate dehydrogenase (LDH), serum fibrinogen, C reactive protein (CRP), and D-Dimer.

Study design

We selected all patients who have been continuously taking OAC therapy, either on VKAs or DOACs, for at least 1 month before ED admission. Consequently, patients non-compliant with OAC were excluded from the analysis. Based on age, sex, comorbidity (categorized as CCI < 3 or CCI ≥ 3), and illness severity at admission (categorized as NEWS < 6 or NEWS ≥ 6), we obtained a matched cohort of controls by 1:1 propensity score matching (PSM). PSM was calculated by a logistic regression model using the nearest neighbor technique with no replacement, and with a caliper size of 0.2 to avoid poor matching. A detailed description of PSM analysis is described in supplementary materials (Appendix S1, Table S1, Figures S1, S2).

Study endpoints

The primary study endpoint was all-cause in-hospital death.

Statistical analysis

Continuous variables are reported as median [interquartile range], and are compared at univariate analysis by Mann–Whitney U test. Categorical variables are reported as absolute number (percentage), and are compared by Chi-square test (with Fisher’s test if appropriate). Follow-up and length of hospital stay were calculated from the time of ED admission to 30 days or death. Evaluated parameters were assessed for association to all-cause in-hospital death by a univariate Cox regression analysis. Significant variables at univariate analysis were entered into a multivariate Cox regression model to identify independent risk factors for survival. For a better model fitting and hazard estimation, we categorized the continuous variables into dichotomous parameters (i.e. low/high). For each variable, we obtained the optimal dividing cut-off by Youden’s index, performing a ROC curve analysis with respect to association with death. To avoid model redundancy or overfitting, variables composed in CCI and NEWS were excluded from the analysis as separate items. Survival curves were estimated by the Kaplan–Meier methods. Association of factors to risk of intra hospital death was reported as hazard ratio (HR) [95% confidence interval]. We considered significant a two-sided p ≤ 0.05. Data were analyzed by SPSS v25® (IBM, Armonk NY, USA).

Results

During the study period, 2666 confirmed COVID-19 patients were admitted to the ED. Among these 160 (6.0%) were on anticoagulation therapy (42 [1.6%] on VKA and 118 [4.4%] on DOACs). Older adults ≥ 65 years were 1407 (52.8%), of whom 135 (9.6%) were on anticoagulation (30 [2.1%] on VKA and 105 [7.5%] on DOACs). Among patients in the anticoagulated group 80 (87%) were on oral anticoagulation due to atrial fibrillation. After PSM based on age, sex, presence of ≥ 3 comorbidities, and admission NEWS ≥ 6, a total of 184 patients, 92 in anticoagulated group and 92 controls, were included in the study cohort.

Comparison of the matched study groups

Patients in the study cohort had a median age of 84 years [81-87], 66.8% of them had ≥ 3 comorbidities, and 12.0% of them had a severe derangement of physiological parameters at admission (NEWS ≥ 6) (Table 1). Anticoagulated group and controls were well balanced for age, sex, CCI ≥ 3, and NEWS ≥ 6 at presentation (Table 1).
Table 1

Demographic and clinical characteristics of enrolled patients at emergency department (ED) admission

All casesn 184ControlsN 92AnticoagulatedN 92p value
Age84 (81–87)84 (79–88)84 (81–86)0.724
Sex (male)92 (50%)46 (50%)46 (50%)1.000
Clinical presentation
 Fever138 (75.0%)76 (82.6%)62 (67.4%)0.017
 Dyspnea126 (68.5%)58 (63.0%)68 (73.9%)0.112
 Cough104 (56.5%)53 (57.6%)51 (55.4%)0.766
 Asthenia/myalgia15 (8.2%)7 (7.6%)8 (8.7%)0.788
 Confusion11 (6.0%)4 (4.3%)7 (7.6%)0.536
 Diarrhea7 (3.8%)2 (2.2%)5 (5.4%)0.444
 Ageusia/anosmia2 (1.1%)02 (2.2%)0.497
Physiological parameters
 NEWS ≥ 622 (12.0%)11 (12.0%)11 (12.0%)1.000
 Heart rate (beats/min)83 (72–95)81 (75–92)85 (70–97)0.678
 SpO2 (%) in ambient air94 (90–97)94 (90–97)94 (190–96)0.553
 Respiratory rate (breaths/min)24 (18–28)24 (18–28)26 (20–28)0.124
 SBP (mmHg)128 (112–140)129 (120–140)128 (106–140)0.172
Radiological findings
 Negative44 (23.9%)19 (20.7%)25 (27.2%)
 Interstitial involvement70 (38.0%)45 (48.9%)25 (27.2%)0.009
 Consolidation70 (38.0%)28 (30.4%)42 (45.6%)
Laboratory values
 WBC count (cells/mm3)7680 (5070–10,540)7400 (5025–9998)8040 (5310–11,380)0.327
 Lymphocyte (cells/mm3)1050 (740–1400)1000 (692–1400)1050 (770–1430)0.868
 WBC/lymphocyte ratio7.34 (4.56–11.31)6.47 (3.94–10.13)7.91 (4.92–11.41)0.175
 Creatinine (mg/dL)1.01 (0.78–1.47)1.05 (0.70–1.70)1.01 (0.80–1.39)0.976
 BUN (mg/dL)25 (19–37)24 (18–38)25 (19–36)0.868
 LDH (UI/L)299 (231–431)295 (216–378)327 (242–478)0.013
 Fibrinogen (mg/dL)465 (393–594)460 (390–586)468 (399–597)0.717
 CRP (mg/L)60 (29–121)56 (28–138)62 (30–116)0.781
 d-Dimer (ng/mL)1012 (455–2481)986 (433–2407)1012 (444–2496)0.894
Clinical history–comorbidities
 ≥ 3 comorbidities123 (66.8%)61 (66.3%)62 (67.4%)0.876
 On aspirin or clopidogrel70 (38.0%)41 (44.6%)29 (31.5%)0.068
 Hypertension77 (41.8%)34 (37.0%)43 (46.7%)0.179
 History of CAD47 (25.5%)9 (9.8%)38 (41.3%)< 0.001
 Congestive heart failure43 (23.4%)10 (10.9%)33 (35.0%)< 0.001
 Cerebrovascular disease20 (10.9%)3 (3.3%)17 (18.5%)0.001
 Dementia27 (14.7%)19 (20.7%)8 (8.7%)0.022
 COPD32 (17.4%)20 (21.7%)12 (13.0%)0.120
 Diabetes34 (18.5%)18 (19.6%)16 (17.4%)0.704
 Chronic kidney disease28 (15.2%)7 (7.6%)21 (22.8%)0.004
 Malignancy4 (2.2%)04 (4.3%)0.121
Outcome
 Deaths60 (32.6%)22 (23.9%)38 (41.3%)0.012

Controls were selected among all the consecutive patients evaluated in our ED after a 1:1 propensity score matching including age, sex, national early warning score (NEWS) ≥ 6 at admission, and presence of ≥ 3 comorbidities

Bold values denote statistical significance (p ≤ 0.05)

SpO2 peripheral oxygen saturation, SBP systolic blood pressure, CAD coronary artery disease, COPD chronic obstructive pulmonary disease, WBC white blood cells, LDH lactate dehydrogenase, BUN blood urea nitrogen, CRP C reactive protein, NEWS National early warning score

Demographic and clinical characteristics of enrolled patients at emergency department (ED) admission Controls were selected among all the consecutive patients evaluated in our ED after a 1:1 propensity score matching including age, sex, national early warning score (NEWS) ≥ 6 at admission, and presence of ≥ 3 comorbidities Bold values denote statistical significance (p ≤ 0.05) SpO2 peripheral oxygen saturation, SBP systolic blood pressure, CAD coronary artery disease, COPD chronic obstructive pulmonary disease, WBC white blood cells, LDH lactate dehydrogenase, BUN blood urea nitrogen, CRP C reactive protein, NEWS National early warning score Patients in the anticoagulated group had a similar clinical presentation at admission, with the exception of a lower rate of fever (67.4% vs 82.6%, p = 0.017), and a higher rate of consolidation at chest X-ray (45.6% vs 30.4%, p = 0.09). Laboratory values were pretty similar in the two groups, with the exception of slightly higher LDH values found in the anticoagulated group (Table 1). Although overall comorbidities were balanced in the two groups, anticoagulated patients had more cardiovascular comorbidities if compared to controls (Table 1).

Survival analysis in anticoagulated patients vs. controls

Overall, 60 patients (32.6%) deceased, 38 (41.3%) in the anticoagulated group and 22 (23.9%) in controls (p = 0.012) (Table 1). Deceased patients were significantly older (85 [82-88] vs. 83 [80-87]; p = 0.012), had less complaining of fever at presentation (60% vs. 82%; p = 0.001), and had a higher derangement of physiological parameters at ED admission, as expressed by a lower peripheral oxygen saturation, a higher respiratory rate and a lower systolic blood pressure (Table 2). As a result, deceased patients had a NEWS ≥ 6 at admission in 23.3% of cases, compared to 6.5% in survived ones (p = 0.001).
Table 2

Univariate analysis for the study endpoint

SurvivedN 124DeceasedN 60p value
Age83 (80–87)85 (82–88)0.012
Sex (male)59 (47.6%)33 (55.0%)0.345
Anticoagulation therapy
 Either on VKA or DOACs54 (43.5%)38 (63.3%)0.012
 VKA11 (8.9%)7 (11.7%)0.550
 DOACs43 (34.7%)31 (51.7%)0.028
ED presentation
 Fever102 (82.3%)36 (60.0%)0.001
 Dyspnea82 (66.1%)44 (73.3%)0.324
 Cough104 (62.1%)27 (45.0%)0.028
 Asthenia/myalgia13 (10.5%)2 (3.3%)0.097
 Confusion6 (4.8%)5 (8.3%)0.349
 Diarrhea7 (5.6%)00.061
 Ageusia/anosmia02 (3.3%)0.497
Physiological parameters at admission
 NEWS ≥ 68 (6.5%)14 (23.3%)0.001
 Heart rate (beats/min)82 (73–96)84 (70–94)0.993
 SpO2 (%) in ambient air94 (91–97)93 (88–97)0.034
 Respiratory rate (breaths/min)22 (18–25)27 (20–29)0.021
 SBP (mmHg)130 (118–140)120 (103–139)0.022
Radiological findings
 Negative36 (29.0%)8 (13.3%)
 Interstitial involvement52 (41.9%)18 (30.0%)0.001
 Consolidation36 (29.0%)34 (56.7%)
Laboratory values
 WBC (cells/mm3)7220 (4970–9877)8365 (5950–12,275)0.047
 Lymphocyte (cells/mm3)1120 (790–1460)905 (682–1210)0.008
 WBC/lymphocyte ratio6.12 (4.13–9.71)9.64 (5.66–14.68)< 0.001
 Creatinine (mg/dL)1.03 (0.78–1.41)0.99 (0.76–1.82)0.740
 BUN (mg/dL)23 (17–31)30 (22–47)0.004
 LDH (UI/L)283 (222–393)360 (251–514)0.004
 Fibrinogen (mg/dL)455 (372–542)523 (423–697)0.016
 CRP (mg/L)49 (23–108)92 (52–156)< 0.001
 d-Dimer (ng/mL)803 (370–1898)1817 (905–4552)< 0.001
Clinical history–comorbidities
 ≥ 3 comorbidities74 (59.7%)49 (81.7%)0.003
 On aspirin or clopidogrel48 (38.7%)22 (36.7%)0.789
 Hypertension51 (41.1%)26 (43.3%)0.776
 History of CAD29 (23.4%)18 (30.0%)0.335
 Congestive heart failure24 (19.4%)19 (31.7%)0.064
 Cerebrovascular disease5 (4.0%)15 (25.0%) < 0.001
 Dementia12 (9.7%)15 (25.0%)0.006
 COPD23 (18.5%)9 (15.0%)0.552
 Diabetes23 (18.5%)11 (18.3%)0.972
 Chronic kidney disease15 (12.1%)13 (21.7%)0.090
 Malignancy1 (0.8%)3 (5.0%)0.067

Bold values denote statistical significance (p ≤ 0.05)

SpO2 peripheral oxygen saturation, SBP systolic blood pressure, CAD coronary artery disease, COPD chronic obstructive pulmonary disease, WBC white blood cells, LDH lactate dehydrogenase, BUN blood urea nitrogen, CRP C reactive protein, VKA vitamin K antagonists, DOAC direct-acting oral anticoagulant

Univariate analysis for the study endpoint Bold values denote statistical significance (p ≤ 0.05) SpO2 peripheral oxygen saturation, SBP systolic blood pressure, CAD coronary artery disease, COPD chronic obstructive pulmonary disease, WBC white blood cells, LDH lactate dehydrogenase, BUN blood urea nitrogen, CRP C reactive protein, VKA vitamin K antagonists, DOAC direct-acting oral anticoagulant Consolidation at chest X-ray was present in 56.7% of deceased, compared to 29.0% of controls (p = 0.001). Most of laboratory values evaluated were significantly different in the deceased group. Deceased patients had higher WBC count, BUN, LDH, fibrinogen, CRP, d-Dimer, and lower lymphocyte count (Table 2). A higher comorbidity rate was associated to increased mortality rate, as 81.7% of deceased patients had a CCI ≥ 3, compared to 59.7% in survived (p = 0.003) (Table 2). Among the evaluated comorbidities mortality was significantly higher in patients with cerebrovascular disease and dementia (Table 2). No difference was found in terms of simultaneous aspirin/clopidogrel therapy.

Multivariate analysis

Prior to be entered into the multivariate models, continuous variables were dichotomized by ROC analysis Youden’s index J. Cut off points were: age ≥ 85 years; WBC > 10,089/mm3; lymphocyte ≤ 1050/mm3; BUN > 32 mg/dL; LDH > 411 UI/L; CRP > 50 mg/dL; Fibrinogen > 549 mg/dL; d-Dimer > 818 ng/mL. When entered into a multivariate COX regression model, four of the evaluated factors emerged as independent risk factors for death, whereas anticoagulation status was not associated to a different outcome (Table 3; Fig. 1).
Table 3

Multivariate analysis (Cox regression model) of significant factor associate to survival at univariate analysis

FactorWaldHazard ratio [95% confidence interval]Multivariatep value
Either on VKA or DOACs0.5311.27 [0.67–2.40]0.466
Age ≥ 85 years3.9401.78 [1.01–3.15]0.047
NEWS ≥ 6 at admission0.7001.34 [0.67–2.66]0.576
CCI ≥ 32.3581.70 [0.86–3.35]0.125
Consolidation at chest X-ray4.5461.87 [1.05–3.33]0.033
WBC/lymphocyte > 4.940.9251.42 [0.69–2.91]0.336
Blood urea nitrogen > 32 mg/dL0.9301.33 [0.74–2.40]0.335
Lactate dehydrogenase > 411 UI/L0.0080.97 [0.52–1.83]0.931
C reactive protein > 50 mg/dL2.1661.69 [0.84–3.42]0.141
Fibrinogen > 549 mg/dL0.0131.03 [0.58–1.82]0.909
d-Dimer > 818 ng/mL5.1702.70 [1.15–6.36]0.023

Cut off values for continuous variables were chosen according to receiver operating characteristic (ROC) analysis Youden index J

Bold values denote statistical significance (p ≤ 0.05)

NEWS National Early Warning Score, VKA vitamin K antagonists, DOAC direct-acting oral anticoagulant, CCI Charlson comorbidity index

Fig. 1

Cumulative survival rate in anticoagulated patients vs controls. Once corrected for clinical and demographic characteristics at admission death risk was similar for anticoagulated and controls (anticoagulation HR = 1.56 [0.78–3.12]; p = 0.208)

Multivariate analysis (Cox regression model) of significant factor associate to survival at univariate analysis Cut off values for continuous variables were chosen according to receiver operating characteristic (ROC) analysis Youden index J Bold values denote statistical significance (p ≤ 0.05) NEWS National Early Warning Score, VKA vitamin K antagonists, DOAC direct-acting oral anticoagulant, CCI Charlson comorbidity index Cumulative survival rate in anticoagulated patients vs controls. Once corrected for clinical and demographic characteristics at admission death risk was similar for anticoagulated and controls (anticoagulation HR = 1.56 [0.78–3.12]; p = 0.208) Although the median age of study cohort was high, age emerged as an independent risk factor for death, being death hazard ratio about doubled for age ≥ 85 years (Table 3). Similarly, presence of consolidation at chest X-ray was associated to poor prognosis. Since at univariate analysis, DOACs appeared to be associated to a worse prognosis compared to VKA, we ran a separate multivariate regression analysis including DOACs as factor. This latter analysis did not reveal an independent risk associated to DOACs assumption in our cohort (DOACs Wald = 1.153, HR 1.46 [0.73–2.92]; p = 0.283). When the same analysis was made for patients on VKA, the results were similar (VKAs Wald = 0.092, HR 1.14 [0.48–2.73]; p = 0.761).

Discussion

The main finding of present study is that among older patients ≥ 65 years hospitalized for COVID-19, chronic OAC therapy was not associated with a reduced risk of in-hospital death. Indeed, correcting the analysis for baseline clinical covariates and disease severity at ED admission, these patients have a similar in-hospital all-cause mortality compared to non-anticoagulated controls. Moreover, noticeably, our data suggest similar outcome both for patients on VKAs or in patients on DOACs. Patients hospitalized with COVID-19 appear to be at higher risk of venous thrombosis, due to the interaction between coagulation and virus-related inflammation [13]. The resulting procoagulant state is mediated by the release inflammatory cytokines [Interleukin 6 (IL-6), Interleukin-8 (IL-8)], tumor necrosis factor α (TNF-α), and chemokines that causes the activation of epithelial cells, monocytes, and neutrophils [14]. Alternatively, it has been postulated that endothelial cells can be directly infected through the ACE-2 receptor, leading to endothelial activation which triggers the coagulation cascade. The following activation of platelets and protease-activated receptors elicit a highly proinflammatory state, starting up the local coagulation [15]. Thus, due to the close relationship between SARS-CoV-2 infection and hypercoagulability, and the known increased thrombotic risk in hypoxic COVID-19 patients [16] antithrombotic therapy is often prescribed as a therapeutic option both for severe and mild cases. In the meanwhile, several ongoing randomized controlled trials are trying to evaluate doses, treatment duration, and potential effectiveness of anticoagulant therapy on the full spectrum of COVID-19 patients [17]. However, to date is still debated if chronic anticoagulation may act as a protective factor in patients already on treatment affected by COVID-19 or, conversely, the pro-thrombotic conditions which had led to chronic anticoagulation are per se associated to a poor prognosis [9, 10]. Therefore, since anticoagulated patients are often older and have multiple comorbidities, this retrospective study was designed to correct for both demographic and clinical covariates, focusing on patients ≥ 65 years who are at increased risk of poor prognosis if hospitalized with COVID-19. Moreover, our analysis was corrected for disease severity at presentation using the NEWS, that showed a good performance in risk stratification of COVID-19 older patients [18, 19]. The analysis of our cohort, corrected for comorbidities, age, sex, and clinical severity at hospital admission revealed a similar outcome for patients on chronic OAC compared to matched controls. Our findings are similar to those of another cohort study enrolling COVID-19 patients admitted to four different Italian institutions, investigating whether pre-hospitalization OAC or in-hospital heparin treatment could have a protective role among COVID-19 patients. This latter study showed that pre-hospitalization OAC treatment was ineffective in reducing mortality rate [20]. Similarly, a further and more recent report on a large cohort of 28,000 Sars-CoV-2 infected patients, found no association with decreased mortality, hospitalization or mechanical ventilation in patients on OAC or antiplatelets preceding SARS-CoV-2 infection diagnosis [21]. However, it should be pointed out that this study comprised only 304 anticoagulated patients, 215 of which ≥ 60 years old. Likewise, DOACs use was not found to be associated with a different risk of severe disease or mortality in a population-based Swedish study on 103,703 patients on DOAC compared to 355,699 non-use controls [22]. However, several other reports investigating the effect of chronic OAC therapy on outcomes in patients hospitalized with COVID-19 showed different and contrasting results. On one hand, a more recent study suggested that prior OAC treatment was associated to worse prognosis in COVID-19 [23]. This latter report, similar to the present study, made a full correction for patients’ comorbidities using CCI in a PSM paired analysis. However, while the PSM was corrected for age, sex, and comorbidities, the study cohort was not adjusted for clinical severity at presentation, thus leaving the possibility that a worse outcome is just due to a more severe disease status in the OAC group. On the other hand, another Italian retrospective population-based study, suggested that among patients ≥ 65 years with COVID-19, those on OAC for atrial fibrillation could be at lower risk of all-cause mortality compared to their propensity score matched non-anticoagulated counterpart. Howbeit, this conclusion is questionable because among OAC patients the adjusted HR for all-cause mortality missed statistical significance [24]. Analogously, a German retrospective cohort study investigating the impact of OAC on clinical outcomes in patients hospitalized with coronavirus disease 2019, showed that a therapy with both DOACs or VKAs, but not with antiplatelet therapy, was associated with improved clinical outcomes [25]. Likewise, a recent secondary analysis on the database of a multicenter French cohort, suggested that prior OAC was associated to better prognosis in COVID-19 patients, in terms of both reduced intensive care unit admission and overall mortality [26]. However, this study yield contrasting results, since while prior OAC was associated to better prognosis, therapeutic or prophylactic low- or high-dose anticoagulation started during hospitalization were not associated with any of the outcomes [26]. Moreover, although authors corrected their analysis for clinical comorbidities, only cardiovascular factors associated to anticoagulation were available, and therefore, most of comorbidities frequent in older adults were not available for analysis adjustment. In addition, the analysis was not fully corrected for clinical severity at admission. In addition, we should consider that the majority of patients in our cohort were on OAC due to atrial fibrillation. A recent paper by Mountantonakis et al. demonstrated that atrial fibrillation was an independent predictor of in-hospital mortality in patients admitted with SARS-CoV-2 infection [27]. Therefore, we cannot exclude that this clinical condition was by itself responsible for an increased risk of death, which could have masked a possible protective effect of oral anticoagulation, influencing our results. The present study also confirm that age is a prominent risk factor for death in patients hospitalized with COVID-19 [1], as previously reported for patients ≥ 80 years [28], representing the majority of patients evaluated in our cohort. Indeed, increasing age is by itself a risk factor for overall COVID-19 in-hospital death, independent from clinical covariates, comorbidities and laboratory findings [29]. Furthermore, deceased patients in our study group demonstrated several laboratory findings commonly highlighted in severe COVID-19 patients (Table 2) [1]. Interestingly, only an elevated D-dimer emerged as independent risk factor for death. Although an elevated D-dimer is a common feature of severe COVID-19 [30], our finding suggests that also in anticoagulated patients the excessive activation of fibrin degradation is a marker of severe disease.

Study limitations

Our study presents several limitations. First, our limited sample may have reduced the power of the analysis. Second, the study was conducted only in a single institution and, even if it is a large COVID-19 referral center, our result could not be generalizable. Third, we did not correct our analysis for anticoagulation regimen during hospitalization. However, this latter finding is mitigated by the single-center nature of present study, which limit the therapeutic variability in our cohort. Finally, since our study design was focused on all-cause mortality, we did not evaluate the occurrence of thrombotic complications in our cohort during hospitalization.

Conclusions

Among older patients hospitalized for COVID-19, chronic treatment with OAC was not associated with a reduced risk of in-hospital death. Moreover, our data suggest similar outcome both for patients on VKAs or in patients on DOACs. However, further and larger studies are needed to validate these finding and to shed a definitive light on the possible benefit of therapeutic anticoagulation in older patients hospitalized with COVID-19. Below is the link to the electronic supplementary material. Supplementary file1 (DOCX 15 KB) Supplementary file2 (DOCX 23 KB) Supplementary file3 (DOCX 23 KB) Supplementary file4 (DOCX 13 KB)
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2.  [A case of hypopotassemic myopathy].

Authors:  O Sepe; R Valiani; A M Fasanaro; A Mandarini; A Verdoliva
Journal:  Acta Neurol Quad (Napoli)       Date:  1981

Review 3.  COVID-19 and Cardiovascular Disease.

Authors:  Kevin J Clerkin; Justin A Fried; Jayant Raikhelkar; Gabriel Sayer; Jan M Griffin; Amirali Masoumi; Sneha S Jain; Daniel Burkhoff; Deepa Kumaraiah; LeRoy Rabbani; Allan Schwartz; Nir Uriel
Journal:  Circulation       Date:  2020-03-21       Impact factor: 29.690

Review 4.  The pathological autopsy of coronavirus disease 2019 (COVID-2019) in China: a review.

Authors:  Baoyong Zhou; Wei Zhao; Ruixi Feng; Xiaohui Zhang; Xuemei Li; Yang Zhou; Li Peng; Yixin Li; Jinyan Zhang; Jing Luo; Lingyu Li; Jingxian Wu; Changhong Yang; Meijiao Wang; Yong Zhao; Kejian Wang; Huarong Yu; Qiling Peng; Ning Jiang
Journal:  Pathog Dis       Date:  2020-04-01       Impact factor: 3.166

5.  Antithrombotic Therapies in COVID-19 Disease: a Systematic Review.

Authors:  Edward Maldonado; Derrick Tao; Katherine Mackey
Journal:  J Gen Intern Med       Date:  2020-06-17       Impact factor: 5.128

6.  Confirmation of the high cumulative incidence of thrombotic complications in critically ill ICU patients with COVID-19: An updated analysis.

Authors:  F A Klok; M J H A Kruip; N J M van der Meer; M S Arbous; D Gommers; K M Kant; F H J Kaptein; J van Paassen; M A M Stals; M V Huisman; H Endeman
Journal:  Thromb Res       Date:  2020-04-30       Impact factor: 3.944

7.  Prevalence of venous thromboembolism in patients with severe novel coronavirus pneumonia.

Authors:  Songping Cui; Shuo Chen; Xiunan Li; Shi Liu; Feng Wang
Journal:  J Thromb Haemost       Date:  2020-05-06       Impact factor: 5.824

Review 8.  The hypercoagulable state in COVID-19: Incidence, pathophysiology, and management.

Authors:  Mouhamed Yazan Abou-Ismail; Akiva Diamond; Sargam Kapoor; Yasmin Arafah; Lalitha Nayak
Journal:  Thromb Res       Date:  2020-06-20       Impact factor: 3.944

Review 9.  Venous Thromboembolism in COVID-19.

Authors:  Sam Schulman; Yu Hu; Stavros Konstantinides
Journal:  Thromb Haemost       Date:  2020-10-24       Impact factor: 5.249

10.  COVID-19 and its implications for thrombosis and anticoagulation.

Authors:  Jean M Connors; Jerrold H Levy
Journal:  Blood       Date:  2020-06-04       Impact factor: 25.476

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1.  The Use of Oral Anticoagulation Is Not Associated With a Reduced Risk of Mortality in Patients With COVID-19: A Systematic Review and Meta-Analysis of Cohort Studies.

Authors:  Meng-Fei Dai; Si-Tong Guo; Yi-Jun Ke; Bao-Yan Wang; Feng Yu; Hang Xu; Zhi-Chun Gu; Wei-Hong Ge
Journal:  Front Pharmacol       Date:  2022-03-31       Impact factor: 5.810

2.  Evaluation of Novel Guanidino-Containing Isonipecotamide Inhibitors of Blood Coagulation Factors against SARS-CoV-2 Virus Infection.

Authors:  Flavio De Maio; Mariagrazia Rullo; Modesto de Candia; Rosa Purgatorio; Gianfranco Lopopolo; Giulia Santarelli; Valentina Palmieri; Massimiliano Papi; Gabriella Elia; Erica De Candia; Maurizio Sanguinetti; Cosimo Damiano Altomare
Journal:  Viruses       Date:  2022-08-05       Impact factor: 5.818

  2 in total

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