Coagulopathy in Covid-19 patients an observational institutional study at MGMMC, Indore

Introduction- Corona virus disease 2019 (COVID-19), first identified in Wuhan, China in December of 2019, has become a worldwide pandemic. It was declared by (WHO) World health organization as Public health emergency on 30th January 2020. Although respiratory compromise is the cardinal feature of the disease, early studies have suggested that elevated circulating D-dimer levels are associated with mortality, 1, 2 suggesting a distinct coagulation disorder associated with COVID-19 Materials And Methods- All patients aged ≥18 years with confirmed COVID-19 (defined as a positive SARS-CoV-2 reverse-transcriptase polymerase chain reaction test by nasopharyngeal/oropharyngeal swab or sputum specimen) were included in the study. The incidence of bleeding and thrombotic events in COVID-19 patients was assessed. Pulmonary embolism (PE) and deep vein thrombosis (DVT) were confirmed radiographically. Results of 6 routinely drawn coagulation-based laboratory parameters (PT, international normalized ratio [INR], activated partial thromboplastin time [aPTT], D-dimer, fibrinogen, and platelet count), 2 laboratory measures of inflammation (C-reactive protein [CRP], and erythrocyte sedimentation rate [ESR]), were evaluated and compared between patients with thrombotic complications (composite of venous thromboembolism, arterial thromboembolism, and clinically significant non-vessel thrombotic complications), patients with bleeding complications, and patients without bleeding or thrombotic complications. Result- In this study, we report the haemostatic manifestations and bleeding and thrombotic complications of 100 COVID-19 patients. In a population managed with standard doses of prophylactic anticoagulation, we found a radiographically confirmed venous thromboembolic rate of 4.8% (7.6% in critically ill patients) Conclusion- In conclusion, we observed that COVID-19 was associated with similar rates of thrombosis and bleeding as seen in hospitalized patients with similar degrees of critical illness. Elevated D-dimer levels at initial presentation predicted bleeding complications, thrombotic complications, critical illness, and death. Beyond D-dimer, thrombosis was primarily associated with inflammatory markers rather than coagulation parameters. We additionally found that elevations in D-dimer on admission predicted critical illness and death, as well as bleeding and thrombotic complications. Inflammatory markers, including CRP and ESR, were also associated with thrombosis. [ FROM AUTHOR] Copyright of Journal of Cardiovascular Disease Research (Journal of Cardiovascular Disease Research) is the property of Journal of Cardiovascular Disease Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

A phase II, multicenter, open-label, randomized trial of pegfilgrastim for patients with alcohol-associated hepatitis.

Background: In trials conducted in India, recombinant granulocyte colony stimulating factor (GCSF) improved survival in alcohol-associated hepatitis (AH). The aim of this trial was to determine the safety and efficacy of pegfilgrastim, a long-acting recombinant GCSF, in patients with AH in the United States. Methods: This prospective, randomized, open label trial conducted between March 2017 and March 2020 randomized patients with a clinical diagnosis of AH and a Maddrey discriminant function score ≥32 to standard of care (SOC) or SOC+pegfilgrastim (0.6 mg subcutaneously) on Day 1 and Day 8 (clinicaltrials.gov NCT02776059). SOC was 28 days of either pentoxifylline or prednisolone, as determined by the patient's primary physician. The second injection of pegfilgrastim was not administered if the white blood cell count exceeded 30,000/mm3 on Day 8. Primary outcome was survival at Day 90. Secondary outcomes included the incidence of acute kidney injury (AKI), hepatorenal syndrome (HRS), hepatic encephalopathy, or infections. Findings: The study was terminated early due to COVID19 pandemic. Eighteen patients were randomized to SOC and 16 to SOC+pegfilgrastim. All patients received prednisolone as SOC. Nine patients failed to receive a second dose of pegfilgrastin due to WBC > 30,000/mm3 on Day 8. Survival at 90 days was similar in both groups (SOC: 0.83 [95% confidence interval [CI]: 0.57-0.94] vs. pegfilgrastim: 0.73 [95% CI: 0.44-0.89]; p > 0.05; CI for difference: -0.18-0.38). The incidences of AKI, HRS, hepatic encephalopathy, and infections were similar in both treatment arms and there were no serious adverse events attributed to pegfilgrastim. Interpretation: This phase II trial found no survival benefit at 90 days among subjects with AH who received pegfilgrastim+prednisolone compared with subjects receiving prednisolone alone. Funding: was provided by the United States National Institutes of Health and National Institute on Alcohol Abuse and Alcoholism U01-AA021886 and U01-AA021884.

Plasma-induced nanoparticle aggregation for stratifying COVID-19 patients according to disease severity.

Stratifying patients according to disease severity has been a major hurdle during the COVID-19 pandemic. This usually requires evaluating the levels of several biomarkers, which may be cumbersome when rapid decisions are required. In this manuscript we show that a single nanoparticle aggregation test can be used to distinguish patients that require intensive care from those that have already been discharged from the intensive care unit (ICU). It consists of diluting a platelet-free plasma sample and then adding gold nanoparticles. The nanoparticles aggregate to a larger extent when the samples are obtained from a patient in the ICU. This changes the color of the colloidal suspension, which can be evaluated by measuring the pixel intensity of a photograph. Although the exact factor or combination of factors behind the different aggregation behavior is unknown, control experiments demonstrate that the presence of proteins in the samples is crucial for the test to work. Principal component analysis demonstrates that the test result is highly correlated to biomarkers of prognosis and inflammation that are commonly used to evaluate the severity of COVID-19 patients. The results shown here pave the way to develop nanoparticle aggregation assays that classify COVID-19 patients according to disease severity, which could be useful to de-escalate care safely and make a better use of hospital resources.

In-hospital mortality and severe outcomes after hospital discharge due to COVID-19: A prospective multicenter study from Brazil.

Background: We evaluated in-hospital mortality and outcomes incidence after hospital discharge due to COVID-19 in a Brazilian multicenter cohort. Methods: This prospective multicenter study (RECOVER-SUS, NCT04807699) included COVID-19 patients hospitalized in public tertiary hospitals in Brazil from June 2020 to March 2021. Clinical assessment and blood samples were performed at hospital admission, with post-hospital discharge remote visits. Hospitalized participants were followed-up until March 31, 2021. The outcomes were in-hospital mortality and incidence of rehospitalization or death after hospital discharge. Kaplan-Meier curves and Cox proportional-hazard models were performed. Findings: 1589 participants [54.5% male, age=62 (IQR 50-70) years; BMI=28.4 (IQR,24.9-32.9) Kg/m² and 51.9% with diabetes] were included. A total of 429 individuals [27.0% (95%CI,24.8-29.2)] died during hospitalization (median time 14 (IQR,9-24) days). Older age [vs<40 years; age=60-69 years-aHR=1.89 (95%CI,1.08-3.32); age=70-79 years-aHR=2.52 (95%CI,1.42-4.45); age≥80-aHR=2.90 (95%CI 1.54-5.47)]; noninvasive or mechanical ventilation at admission [vs facial-mask or none; aHR=1.69 (95%CI 1.30-2.19)]; SAPS-III score≥57 [vs<57; aHR=1.47 (95%CI 1.13-1.92)] and SOFA score≥10 [vs <10; aHR=1.51 (95%CI 1.08-2.10)] were independently associated with in-hospital mortality. A total of 65 individuals [6.7% (95%CI 5.3-8.4)] had a rehospitalization or death [rate=323 (95%CI 250-417) per 1000 person-years] in a median time of 52 (range 1-280) days post-hospital discharge. Age ≥ 60 years [vs <60, aHR=2.13 (95%CI 1.15-3.94)] and SAPS-III ≥57 at admission [vs <57, aHR=2.37 (95%CI 1.22-4.59)] were independently associated with rehospitalization or death after hospital discharge. Interpretation: High in-hospital mortality rates due to COVID-19 were observed and elderly people remained at high risk of rehospitalization and death after hospital discharge. Funding: Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) and Programa INOVA-FIOCRUZ.

The Outcome in Cirrhosis after Hospital Discharge is Not Worsened with COVID-19 Infection: A Propensity Score-matched Analysis.

Background: Patients with cirrhosis and coronavirus disease-2019 (COVID-19) have high in-hospital mortality. The information on the outcome of cirrhosis patients in the posthospitalization period is limited. Aims: We aimed to study the outcome of cirrhosis patients with COVID-19 after hospital discharge. Methods: The records of the cirrhosis patients discharged after COVID-19 were reviewed. Their data were compared with a similar number of cirrhosis patients without COVID-19 after propensity score matching for age, sex, etiology of cirrhosis, and model for end-stage liver disease (MELD) score. Results: Cirrhosis patients with (n = 92) or without (n = 92) COVID-19 were included in 1:1 ratio. The mortality among COVID-19 (22; 23.9%) and non-COVID-19 (19; 20.7%) were comparable (HR 1.224; 95% CI 0.663-2.263, P = 0.520), over a similar duration of follow-up [186 (86-271) vs. 183 (103-274)]. Among COVID-19 patients, 45; 48.9% developed a new acute decompensation-increased ascites (40; 43.5%), hepatic encephalopathy (20; 21.7%), or variceal bleeding (8; 8.7%) whereas 25 (27.2%) patients needed rehospitalization. A proportion of participants continued to have either fatigue/weakness (24/80; 30.0%), sleep disturbances (11/80; 13.7%), or joint pains (16/80; 20.0%). The most common causes of death in patients of both groups were end-stage liver disease: 16 (72.7%) vs. 9 (47.4%), followed by multiorgan dysfunction: 4 (18.2%) vs. 6 (31.6%), GI bleeding: 2 (9.1%) vs. 4 (21.0%), P = 0.484. A lower albumin level, higher international normalized ratio, bilirubin, Child-Turcotte-Pugh, and MELD scores at discharge predicted mortality in the COVID-19 group. Conclusion: Short-term outcomes of patients with cirrhosis who survive the initial insult of COVID-19 are not different from patients without COVID-19, and survival is determined by the severity of liver disease at discharge.

Predictors of in-hospital Outcomes in Patients With Cirrhosis and Coronavirus Disease-2019.

Background: Coronavirus disease-2019 (COVID-19) cases continue to increase globally. Poor outcomes in patients with COVID-19 and cirrhosis have been reported; predictors of outcome are unclear. The existing data is from the early part of the pandemic when variants of concern (VOC) were not reported. Aims: We aimed to assess the outcomes and predictors in patients with cirrhosis and COVID-19. We also compared the differences in outcomes between the first wave of pandemic and the second wave. Methods: In this retrospective analysis of a prospectively maintained database, data on consecutive cirrhosis patients (n = 221) admitted to the COVID-19 care facility of a tertiary care center in India were evaluated for presentation, the severity of liver disease, the severity of COVID-19, and outcomes. Results: The clinical presentation included: 18 (8.1%) patients had compensated cirrhosis, 139 (62.9%) acute decompensation (AD), and 64 (29.0%) had an acute-on-chronic liver failure (ACLF). Patients with ACLF had more severe COVID-19 infection than those with compensated cirrhosis and AD (54.7% vs. 16.5% and 33.3%, P < 0.001). The overall mortality was 90 (40.7%), the highest among ACLF (72.0%). On multivariate analysis, independent predictors of mortality were high leukocyte count, alkaline phosphatase, creatinine, child class, model for end-stage liver disease (MELD) score, and COVID-19 severity. The second wave had more cases of severe COVID-19 as compared to the first wave, with a similar MELD score and Child score. The overall mortality was similar between the two waves. Conclusion: Patients with COVID-19 and cirrhosis have high mortality (40%), particularly those with ACLF (72%). A higher leukocyte count, creatinine, alkaline phosphatase, Child class, and MELD score are predictors of mortality.

Artificial intelligence in clinical care amidst COVID-19 pandemic: A systematic review.

The worldwide health crisis caused by the SARS-Cov-2 virus has resulted in>3 million deaths so far. Improving early screening, diagnosis and prognosis of the disease are critical steps in assisting healthcare professionals to save lives during this pandemic. Since WHO declared the COVID-19 outbreak as a pandemic, several studies have been conducted using Artificial Intelligence techniques to optimize these steps on clinical settings in terms of quality, accuracy and most importantly time. The objective of this study is to conduct a systematic literature review on published and preprint reports of Artificial Intelligence models developed and validated for screening, diagnosis and prognosis of the coronavirus disease 2019. We included 101 studies, published from January 1st, 2020 to December 30th, 2020, that developed AI prediction models which can be applied in the clinical setting. We identified in total 14 models for screening, 38 diagnostic models for detecting COVID-19 and 50 prognostic models for predicting ICU need, ventilator need, mortality risk, severity assessment or hospital length stay. Moreover, 43 studies were based on medical imaging and 58 studies on the use of clinical parameters, laboratory results or demographic features. Several heterogeneous predictors derived from multimodal data were identified. Analysis of these multimodal data, captured from various sources, in terms of prominence for each category of the included studies, was performed. Finally, Risk of Bias (RoB) analysis was also conducted to examine the applicability of the included studies in the clinical setting and assist healthcare providers, guideline developers, and policymakers.

Personalized Prediction of Hospital Mortality in COVID-19-Positive Patients.

OBJECTIVE: To develop predictive models for in-hospital mortality and length of stay (LOS) for coronavirus disease 2019 (COVID-19)-positive patients. PATIENTS AND METHODS: We performed a multicenter retrospective cohort study of hospitalized COVID-19-positive patients. A total of 764 patients admitted to 14 different hospitals within the Cleveland Clinic from March 9, 2020, to May 20, 2020, who had reverse transcriptase-polymerase chain reaction-proven coronavirus infection were included. We used LightGBM, a machine learning algorithm, to predict in-hospital mortality at different time points (after 7, 14, and 30 days of hospitalization) and in-hospital LOS. Our final cohort was composed of 764 patients admitted to 14 different hospitals within our system. RESULTS: The median LOS was 5 (range, 1-44) days for patients admitted to the regular nursing floor and 10 (range, 1-38) days for patients admitted to the intensive care unit. Patients who died during hospitalization were older, initially admitted to the intensive care unit, and more likely to be white and have worse organ dysfunction compared with patients who survived their hospitalization. Using the 10 most important variables only, the final model's area under the receiver operating characteristics curve was 0.86 for 7-day, 0.88 for 14-day, and 0.85 for 30-day mortality in the validation cohort. CONCLUSION: We developed a decision tool that can provide explainable and patient-specific prediction of in-hospital mortality and LOS for COVID-19-positive patients. The model can aid health care systems in bed allocation and distribution of vital resources.

Increased levels of ferritin on admission predicts intensive care unit mortality in patients with COVID-19.

BACKGROUND: The aim of this study was to evaluate hyperferritinemia could be a predicting factor of mortality in hospitalized patients with coronavirus disease-2019 (COVID-19). METHODS: A total of 100 hospitalized patients with COVID-19 in intensive care unit (ICU) were enrolled and classified into moderate (n = 17), severe (n = 40) and critical groups (n = 43). Clinical information and laboratory results were collected and the concentrations of ferritin were compared among different groups. The association between ferritin and mortality was evaluated by logistic regression analysis. Moreover, the efficiency of the predicting value was assessed using receiver operating characteristic (ROC) curve. RESULTS: The amount of ferritin was significantly higher in critical group compared with moderate and severe groups. The median of ferritin concentration was about three times higher in death group than survival group (1722.25 µg/L vs. 501.90 µg/L, p < 0.01). The concentration of ferritin was positively correlated with other inflammatory cytokines, such as interleukin (IL)-8, IL-10, C-reactive protein (CRP) and tumor necrosis factor (TNF)-α. Logistic regression analysis demonstrated that ferritin was an independent predictor of in-hospital mortality. Especially, high-ferritin group was associated with higher incidence of mortality, with adjusted odds ratio of 104.97 [95% confidence interval (CI) 2.63-4185.89; p = 0.013]. Moreover, ferritin had an advantage of discriminative capacity with the area under ROC (AUC) of 0.822 (95% CI 0.737-0.907) higher than procalcitonin and CRP. CONCLUSION: The ferritin measured at admission may serve as an independent factor for predicting in-hospital mortality in patients with COVID-19 in ICU.

ANTECEDENTES: El objetivo de este estudio fue evaluar si la hiperferritinemia podría ser un factor predictivo de la mortalidad en pacientes hospitalizados con enfermedad por coronavirus de 2019 (COVID-19). MÉTODOS: Se incluyó un total de 100 pacientes hospitalizados con COVID-19 en la unidad de cuidados intensivos (UCI), clasificándose como grupos moderado (n = 17), grave (n = 40) y crítico (n = 43). Se recopiló la información clínica y de laboratorio, comparándose los niveles de ferritina entre los diferentes grupos. Se evaluó la asociación entre ferritina y mortalidad mediante un análisis de regresión logística. Además, se evaluó la eficacia del valor predictivo utilizando la curva ROC (receiver operating characteristic). RESULTADOS: La cantidad de ferritina fue significativamente superior en el grupo de pacientes críticos en comparación con el grupo de pacientes graves. La media de concentración de ferritina fue cerca de 3 veces superior en el grupo de muerte que en el grupo de supervivientes (1.722,25 µg/L vs. 501,90 µg/L, p < 0,01). La concentración de ferritina guardó una correlación positiva con otras citoquinas inflamatorias tales como interleucina (IL)-8, IL-10, proteína C reactiva (PRC) y factor de necrosis tumoral (TNF)-α. El análisis de regresión logística demostró que la ferritina era un factor predictivo independiente de la mortalidad intrahospitalaria. En especial, el grupo de ferritina alta estuvo asociado a una mayor incidencia de la mortalidad, con un valor de odds ratio ajustado de 104,97 [intervalo de confianza (IC) del 95% 2,63-4.185,89; p = 0,013]. Además, el valor de ferritina tuvo una ventaja de capacidad discriminativa en el área bajo la curva ROC (AUC) de 0,822 (IC 95% 0,737-0,907] superior al de procalcitonina y PRC. CONCLUSIÓN: El valor de ferritina medido durante el ingreso puede servir de factor independiente para prevenir la mortalidad intrahospitalaria en los pacientes de COVID-19 en la UCI.

Outcome of Conservative Therapy in Coronavirus disease-2019 Patients Presenting With Gastrointestinal Bleeding.

BACKGROUND/OBJECTIVE: There is a paucity of data on the management of gastrointestinal (GI) bleeding in patients with Coronavirus disease -2019 (COVID-19) amid concerns about the risk of transmission during endoscopic procedures. We aimed to study the outcomes of conservative treatment for GI bleeding in patients with COVID-19. METHODS: In this retrospective analysis, 24 of 1342 (1.8%) patients with COVID-19, presenting with GI bleeding from 22nd April to 22nd July 2020, were included. RESULTS: The mean age of patients was 45.8 ± 12.7 years; 17 (70.8%) were males; upper GI (UGI) bleeding: lower GI (LGI) 23:1. Twenty-two (91.6%) patients had evidence of cirrhosis- 21 presented with UGI bleeding while one had bleeding from hemorrhoids. Two patients without cirrhosis were presumed to have non-variceal bleeding. The medical therapy for UGI bleeding included vasoconstrictors-somatostatin in 17 (73.9%) and terlipressin in 4 (17.4%) patients. All patients with UGI bleeding received proton pump inhibitors and antibiotics. Packed red blood cells (PRBCs), fresh frozen plasma (FFPs) and platelets were transfused in 14 (60.9%), 3 (13.0%) and 3 (13.0%), respectively. The median PRBCs transfused was 1 (0-3) unit(s). The initial control of UGI bleeding was achieved in all 23 patients and none required an emergency endoscopy. At 5-day follow-up, none rebled or died. Two patients later rebled, one had intermittent bleed due to gastric antral vascular ectasia, while another had rebleed 19 days after discharge. Three (12.5%) cirrhosis patients succumbed to acute hypoxemic respiratory failure during hospital stay. CONCLUSION: Conservative management strategies including pharmacotherapy, restrictive transfusion strategy, and close hemodynamic monitoring can successfully manage GI bleeding in COVID-19 patients and reduce need for urgent endoscopy. The decision for proceeding with endoscopy should be taken by a multidisciplinary team after consideration of the patient's condition, response to treatment, resources and the risks involved, on a case to case basis.

Coagulopathies in novel coronavirus (SARS-CoV-2) pandemic: Emerging evidence for hematologists.

The coronavirus disease (COVID-19), which is also known as acute respiratory syndrome coronavirus-2 (SARS-CoV2) is a transmissible disease, has phenotypes varying from asymptomatic to Acute Respiratory Distress Syndrome (ARDS) or multiple organ dysfunction syndrome (MODS) and ultimately death in certain cases. Coagulation disorders are being frequently reported amongst these patients and the pathogenesis is still not completely understood. Proposed mechanisms for these coagulopathies comprise a hypercoagulable state with micro- and/or macro-thrombosis in the vessels. A number of changes have been reported or proposed in circulating prothrombotic factors in COVID-19 patients and includes elevation in both factor VIII and fibrinogen, circulating prothrombotic microparticles and hyperviscosity. The COVID-19 patients are showing varied coagulopathies and are at high risk for venous thromboembolism (VTE) which demands an early intervention. This paper reviews the evolving data regarding the evaluation and managing of coagulopathies in patients with COVID-19.