key: cord-0933167-o5v91y2p authors: Murat, Selda; Murat, Bektas; Dural, Muhammet; Mert, Gurbet Ozge; Cavusoglu, Yuksel title: Prognostic value of D-dimer/fibrinogen ratio on in-hospital outcomes of patients with heart failure and COVID-19 date: 2021-10-20 journal: Biomarkers in medicine DOI: 10.2217/bmm-2021-0341 sha: 4932f2d28ef180d8ef114b4e971c664d4fe5a448 doc_id: 933167 cord_uid: o5v91y2p Aim: In the present study, the relationship between D-dimer/fibrinogen ratio (DFR) and in-hospital outcomes was evaluated in patients with COVID-19 and a diagnosis of heart failure (HF). Materials & methods: In-hospital outcomes were compared in patients with high and low DFR values. Results: With regard to in-hospital outcomes, patients in the third tertile of DFR had a higher rate of mechanical ventilation, cardiogenic shock and death (p < 0.001). The length of ICU stay was longer in the third tertile group (p < 0.001). When evaluated together with infection markers, DFR was found to be an independent predictor of outcomes. Conclusion: DFR can be used as a prognostic marker in patients with COVID-19 with a diagnosis of HF, and perhaps more valuable than other infection markers. The study enrolled 240 consecutive patients admitted to Eskisehir Osmangazi University, Medical Faculty Department of Cardiology and Eskisehir City Hospital Department of Cardiology with laboratory-confirmed SARS-CoV-2 infection from 15 March 2020 to 1 December 2020. The diagnosis of COVID-19 was confirmed by RNA reversetranscriptase polymerase chain reaction (RT-PCR) detection of the SARS-CoV-2 in the clinical laboratory of both centers. The exclusion criteria were age under 18 years old, outpatients who were referred to another hospital during their hospitalization, acute myocardial infarction, patients with a history of cerebral infarct (n = 5), malignancy (n = 2) and patients with acute deep venous thrombosis and/or pulmonary thromboembolism (n = 1). Heart failure was identified from the International Classification of Diseases, tenth revision, clinical modification (ICD-10-CM) codes in patient electronic medical records (EMR), including I50 (heart failure), I50.1 (left ventricular failure, unspecified), I50.2 (systolic [congestive] heart failure) and I50.9 (heart failure, unspecified) diagnostic codes. A total of 232 patients with HF were included in the study. Demographic characteristics (age and sex); cardiovascular history and chronic diseases including heart failure, arterial hypertension, diabetes mellitus, ischemic heart disease, atrial fibrillation, chronic obstructive pulmonary disease (COPD), chronic kidney disease (CKD), devices (pacemaker and implantable cardioverter-defibrillator); clinical data (vital signs, laboratory findings) and therapy were collected from EMRs. Heart rate, oxygen saturation and blood pressure were recorded at the time of admission. The length of stay in the ICU and ward was obtained from discharge records. Data on counts or levels of hemoglobin (Hb), white blood cells (WBCs), lymphocytes (L), neutrophils (N), sodium, potassium, glucose, alanine transaminase (ALT), aspartate aminotransferase (AST), serum albumin (ALB), serum creatinine (sCr), blood urea nitrogen (BUN) and the highest values of inflammatory markers such as C-reactive protein (CRP), ferritin, lactate and procalcitonin were included. From the D-dimer and fibrinogen values, two values were taken into consideration: The first within 24 hours of admission to hospital and the highest values. D-dimer levels (normal range 0-0.50 mg/l) were measured by immunoturbidimetry and fibrinogen levels (normal range 170-420 mg/dl) by clotting method using the Sysmex CS5100 automated coagulation analyzer. DFR was calculated using the following formula: Fibrinogen mg/dl × 100 In-hospital mortality, respiratory failure requiring noninvasive mechanical ventilation and orotracheal intubation, duration of ICU stay, acute kidney injury treated with renal replacement therapy, need for blood transfusion and use of intravenous vasopressor drug were evaluated. The clinical outcomes were defined as all-cause death, respiratory failure requiring mechanical ventilation and cardiogenic shock during hospitalization. Cardiogenic shock was defined as hypotension (SBP <90 mmHg) with evidence of hypoperfusion and end-organ dysfunction [25] . The left ventricular ejection fraction (LVEF) before or during index COVID-19 admission was recorded, if available. All data were checked by two researchers to ascertain accuracy. Normally distributed continuous variables are reported as mean ± standard deviation (SD), while skewed variables are expressed as medians and interquartile ranges (IQRs). Shapiro-Wilk tests were performed and density maps were drawn to determine the normality of the distribution of the continuous variables. Differences between groups were compared by Chi-square test or Fisher's exact test. Comparisons of differences between groups were made by analysis of variance (one-way ANOVA). The Kruskal-Wallis H test was used to compare the groups that did not conform to the normal distribution. Patients with a history of HF with COVID-19 were grouped into tertiles 1-3. The first tertile included DFR values <0.37, the second tertile included DFR values ranging 0.38-1-1.13 and the third tertile included values higher than 1.13. Patients were also stratified according to receiver operating characteristic (ROC) curve analysis. The optimal cut-off value for serum D-dimer/fibrinogen ratio was calculated as 0.61; therefore, a Kaplan-Meier survival curve was constructed according to the cut-off value for DFR. The log-rank test was conducted to compare differences. The relationship between each variable and the composite of mechanical ventilation, death and cardiogenic shock events was analyzed by Cox proportional hazard regression. All variables that were analyzed in the univariate model were included in the multivariate model to evaluate the comprehensive effects of DFR on the end point event. The hazard ratio (HR) and its 95% CI were calculated. All comparisons were two-tailed, with p < 0.05 considered statistically significant. IBM SPSS Statistics 21.0 (IBM Corp. Released 2012. IBM SPSS Statistics for Windows, Version 21.0. Armonk, NY: IBM Corp.) was used for the analyses. In this two-center retrospective study, after exclusion and inclusion criteria, 232 patients with a history of HF with laboratory-confirmed COVID-19 were included in the final analysis. In ROC curve analysis, DFR >0.61 predicted poor outcomes in patients with HF and COVID-19 with a sensitivity of 47.6% and specificity of 90.7%. Patients were categorized in DFR tertiles, first (<0.37), second (0.38-1-1.13) and third (>1.13). The mean age of the study population was 73.2 ± 10 years, with males predominant (158; 68.1%). The presence of DM, HT, CAD, prior history of AF and COPD was similar among both groups. With regard to in-hospital outcomes, patients in the third tertile had a higher rate of requiring mechanical ventilation, cardiogenic shock and death (p < 0.001; Table 1 ). ROC curve analyses were performed to compare the predictive performances among DFR, D-dimer, fibrinogen and some traditional inflammatory markers, such as ferritin, CRP and procalcitonin ( Figure 1 ). As presented in Table 2 , cut-off values and the area under the ROC curve also were calculated. On the whole, DFR had a better predictive value than other markers. Based on cox proportional analyses; SBP (HR: 0.98; 95% CI: 0.97-0.99; p < 0.001), heart rate (HR: 1.01; 95% CI: 1.00-1.01; p = 0.013), admission oxygen saturation (HR: 0.96; 95% CI: 0.94-0.98; p < 0.001), highest procalcitonin (HR: 1.01; 95% CI: 1.00-1.03; p = 0.022), ferritin (HR: 1.00; 95% CI: 1.00-1.00; p = 0.001), lactate (HR: 1.06; 95% CI: 1.01-1.12; p = 0.020), CRP (HR: 1.00; 95% CI: 1.00-1.00; p = 0.045), total protein (HR: 0.79; 95% CI: 0.64-0.99; p = 0.041) and DFR (HR: 1.03; 95% CI: 1.00-1.07; p = 0.032) predicted clinical outcomes including death, cardiogenic shock and mechanical ventilation events in all populations ( Figure 2 ). Multivariate cox analyses showed that the following were independent prognostic factors of outcomes: SBP (HR: Highest procalsitonin (ng/ml) Table 3 ). In this study, 27.5% of HF patients diagnosed with COVID-19 had a high DFR (>0.61) at admission and in patients with a history of HF diagnosed with COVID-19, DFR elevation upon admission was associated with poor clinical outcomes, longer hospital stays, length of stay in the ICU and in-hospital mortality (Figure 3) . Previous studies have shown the correlation between plasma D-dimer and fibrinogen concentrations and the severity of COVID-19. Fibrinogen is an acute-phase protein, which is synthesized by the liver in response to IL-1-and IL-6-derived stimulation, and is involved in fibrin formation as the last step of a triggered coagulation activity [26] . Fibrinogen has become an important biomarker in the course of COVID-19 disease, as it is associated with both inflammation and coagulopathy. Han et al. investigated the changes in blood coagulation of patients infected with COVID-19 by comparing them with healthy controls. They reported that fibrinogen levels were higher in both mild and severely ill patients than healthy patients [17] . In another study, the difference in fibrinogen was reported to be nonsignificant between surviving and nonsurviving patients with COVID-19 in a different cohort (5.16 vs 4.51 g/l, p = 0.149) [18] . Hayıroglu et al. reported that fibrinogen might not have a predictive value for mortality in patients with COVID-19 and should be evaluated together with D-dimer for proper prognostic assumption [19] . Although the mortality rate in the third tertile DFR group was 59.7%, there was no difference in fibrinogen value between the groups. In addition, fibrinogen alone was not found to be predictive in terms of mortality and clinical outcomes. D-dimer, which is produced by the breakdown of fibrin by plasmin, is another biomarker closely related to thrombotic and fibrinolytic processes. Apart from the diagnosis of coagulation abnormalities, D-dimer increases in many conditions such as inflammation, vasculitis, pregnancy, cancer and HF. Several studies have shown that Ddimer levels are associated with the severity and clinical outcomes of community-acquired pneumonia [27] . Among adults admitted to the emergency room, infection,s rather than venous thromboembolism (VTE)/pulmonary embolism (PE), are the most common reason for D-dimer elevation [28] . In addition, some studies have reported that a high D-dimer level is a highly nonspecific marker of VTE and may be a sign of inflammation rather than thrombosis [29, 30] . Many studies have previously evaluated the relationship between COVID-19 and D-dimer. In some studies, the level of D-dimer reflects the severity of the disease, while in others it is useful in predicting in-hospital prognosis. A large study of 1065 hospitalized patients with COVID-19 reported that higher D-dimer at admission was associated with a greater risk of all-cause mortality, need for mechanical ventilation and VTE. The investigators also concluded that D-dimer at admission, as an isolated measure, did not appear to be a reliable prognostic test for outcomes among patients with COVID-19 [31] . Although D-dimer has been well studied, the predictive effect of DFR in COVID-19 disease has not been examined. Furthermore, despite the results of these studies, the prognostic and predictive value of D-dimer has not been studied in patients with COVID-19 and specific diseases. To the best of our knowledge, this study is the first to investigate the association of DFR with the outcomes of patients with HF and COVID-19. In this study, the AUC was found to be 0.74 for the ROC of DFR at admission, which is considered a predictor of in-hospital mortality. The optimal DFR cut-off value of 0.61 provided sensitivity and specificity for the prediction of in-hospital outcomes. Unlike previous studies in which D-dimer was evaluated, this study was conducted in a specific patient population with high in-hospital poor outcomes. A study of 343 inpatients with COVID-19 from Wuhan reported that AUC of 0.89 for a ROC of D-dimer at admission as a predictor of in-hospital mortality. They also reported that the optimal D-dimer cutoff of 2 μg/ml for prediction of death. However, these findings were based on only 13 death events in the cohort -hardly sufficient to construct a rigorous and reliable ROC [32] . In another study of 138 consecutive patients with COVID-19 indicated that 'D-dimer was higher in non-survivors than in survivors', however, this was based on a subgroup analysis that included 33 patients, only five of whom were nonsurvivors [33] . In the present study of patients with HF, (which is an important group in terms of COVID-19 mortality), high DFR at admission was more specific than D-dimer and fibrinogen in predicting clinical outcomes, such as requiring mechanical ventilation, cardiogenic shock, in-hospital death, and length of hospital and ICU stay. Severe COVID-19 is commonly complicated with coagulopathy, but the elevation of D-dimer seen in patients with COVID-19 may be associated with inflammation rather than venous thromboembolism [33, 34] . In a study that included 449 patients with COVID-19, there was no difference in D-dimer at admission as compared with 104 patients with non-COVID pneumonia [34] . Likewise, the last two studies showed that D-dimer correlates with inflammatory markers, such as CRP and procalcitonin, and there is no definitive conclusion about its direct relationship with VTE [31, 35] . In the present study, a high DFR value was significantly correlated with prognosisdeterminant biomarkers of both inflammation and disease, such as CRP, LDH, procalcitonin, lactate, troponin and ferritin. When evaluated together with these parameters, DFR was found to be associated with in-hospital outcomes in both univariate and multivariate analyses. Inflammatory activation may be the underlying cause of worse clinical outcomes in both patients with HF and those with COVID-19. The present study has several limitations. First, it is a retrospective, observational study. Second, there was a lack of evaluation of conditions such as in-hospital undiagnosed PE and VTE. This may have contributed to the dynamic changes in fibrinogen and D-dimer levels observed in this study. Further studies are needed to confirm these findings. The DFR value at admission may guide physicians in determining the outcomes, length of hospital stay, treatment protocol and regimen for patients with a history of HF who are admitted with a diagnosis of COVID-19. • Heart failure is one of the most important causes of mortality in patients with COVID-19. • Previous studies have shown that fibrinogen and D-dimer are associated with the severity of COVID-19 disease; however, the prognostic value of DFR in patients with COVID-19 with a history of heart failure is unclear. • Elevated DFR values may define prothrombotic activity in conditions with excessive fibrinogen consumption and D-dimer formation, independent of the absolute values of both. • Laboratory parameters of patients with COVID-19 have shown a prothrombotic diathesis with significantly high fibrinogen levels in critically ill patients. However, in the late stages, thrombolysis decreases fibrinogen levels and increases D-dimer. • Multivariate Cox regression analysis showed that DFR was significantly associated with in-hospital outcomes. • DFR can be used as a biomarker in patients with COVID-19 and heart failure, which is associated with increased mortality and worse outcomes. Financial & competing interests disclosure Clinical features of patients infected with 2019 novel coronavirus in Wuhan Effect of heart failure on the outcome of COVID-19 -a meta analysis and systematic review COVID-19 and the cardiovascular system Potential effects of coronaviruses on the cardiovascular system: a review COVID-19 and cardiovascular disease COVID-19 and heart failure: from infection to inflammation and angiotensin II stimulation. Searching for evidence from a new disease COVID-19 is transmitted through breathing, primarily causing pneumonia, this paper states that it significantly affects all organs Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus -infected pneumonia in Wuhan, China Impact of cerebrovascular and cardiovascular diseases on mortality and severity of COVID-19 -systematic review, meta-analysis, and meta-regression Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational study Impact of congestive heart failure and role of cardiac biomarkers in COVID-19 patients: a systematic review and meta-analysis Microvascular COVID-19 lung vessels obstructive thromboinflammatory syndrome (MicroCLOTS): an atypical acute respiratory distress syndrome working hypothesis Hyperinflammation and derangement of renin-angiotensin-aldosterone system in COVID-19: a novel hypothesis for clinically suspected hypercoagulopathy and microvascular immunothrombosis Immunity, endothelial injury and complement-induced coagulopathy in COVID-19 •• States that COVID-19-positive patients have abnormal blood test results Abnormal coagulation parameters are associated with poor prognosis in patients with novel coronavirus pneumonia Presumed asymptomatic carrier transmission of COVID-19 This paper discusses the confusion regarding the measurement method and reference ranges for the use of D-dimer as a biomarker Reporting of D-dimer data in COVID-19: some confusion and potential for misinformation Prominent changes in blood coagulation of patients with SARS-CoV-2 infection Abnormal coagulation parameters are associated with poor prognosis in patients with novel coronavirus pneumonia • Fibrinogen and D-dimer variants and anticoagulant therapy have been employed in COVID-19 disease Fibrinogen and D-dimer variances and anticoagulation recommendations in Covid-19: current literature review D-dimer and D-dimer/fibrinogen ratio in predicting pulmonary embolism in patients evaluated in a hospital emergency department Accuracy of D-dimer: fibrinogen ratio to diagnose pulmonary thromboembolism in patients admitted to intensive care units Accuracy of D-dimer/fibrinogen ratio to predict pulmonary embolism: a prospective diagnostic study Usefulness of measurement of fibrinogen, D-dimer, D-dimer/fibrinogen ratio, C reactive protein and erythrocyte sedimentation rate to assess the pathophysiology and mechanism of ischaemic stroke • States the prognostic value of D-dimer in hospitalized patients with heart failure Prognostic value of D-dimer/fibrinogen ratio in the adverse outcomes of patients hospitalized for heart failure ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure: The Task Force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC) developed with the special contribution of the Heart Failure Association (HFA) of the ESC Guidelines for the diagnosis and management of disseminated intravascular coagulation. British Committee for Standards in Haematology • Indicates that D-dimer is an important biomarker for predicting disease severity and mortality in patients with COVID-19 D-dimer as a biomarker for disease severity and mortality in COVID-19 patients: a case control study Causes of elevated D-dimer in patients admitted to a large urban emergency department Elevated levels of d-dimer are associated with inflammation and disease activity rather than risk of venous thromboembolism in patients with granulomatosis with polyangiitis in long term observation D-dimer correlates with proinflammatory cytokine levels and outcomes in critically ill patients Admission D-dimer levels, D-dimer trends, and outcomes in COVID-19 D-dimer levels on admission to predict in-hospital mortality in patients with Covid-19 Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus-infected pneumonia in Wuhan, China Difference of coagulation features between severe pneumonia induced by SARS-CoV2 and non-SARS-CoV2 COVID-19 and coagulation: bleeding and thrombotic manifestations of SARS-CoV-2 infection The authors have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties.No writing assistance was utilized in the production of this manuscript.