Dataset Information

Therapeutic anticoagulation using heparin in early phase severe coronavirus disease 2019: A retrospective study.

ABSTRACT:

Background

Although several reports recommend the use of systemic anticoagulation therapy in patients with severe coronavirus disease 2019 (COVID-19) pneumonia, appropriate target population and timing of administration are unknown. We assessed association between therapeutic anticoagulation administration with unfractionated heparin and outcomes in patients with severe COVID-19 pneumonia, assuming that anticoagulant administration effects are influenced by therapy timing.

Methods

This retrospective observational study included severe COVID-19 patients requiring mechanical ventilation in a tertiary emergency critical care hospital intensive care unit (ICU) in Japan from May 1, 2020 to September 30, 2021. All included patients were divided into early and late-phase administration groups based on therapeutic anticoagulant administration timing (≤5 and >5 days, respectively, after commencing oxygen therapy). Primary outcomes (in-hospital mortality and adverse events related to anticoagulation therapy) and secondary outcomes [veno-venous extracorporeal membrane oxygenation (ECMO), ventilator-free days (VFD), and ICU-free days] were compared between groups using univariate and multivariate models.

Results

Of 198 included patients 104 (52.5%) and 94 (47.5%) were in early-phase and late-phase administration groups, respectively. Although background characteristics were similar between the groups, the early-phase administration group had a significantly lower in-hospital mortality rate (3.8% vs. 27.7%; p < 0.001), lower adverse event rates (1.9% vs. 12.8%; p < 0.001), significantly longer VFD and ICU-free days, and lower ECMO rates, than the late-phase administration group, in the multivariate model.

Conclusions

Late administration of therapeutic-dose anticoagulation in patients with severe COVID-19 pneumonia was significantly associated with worse outcomes than early administration.

SUBMITTER: Takayama W

PROVIDER: S-EPMC9135498 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature

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Publications

Therapeutic anticoagulation using heparin in early phase severe coronavirus disease 2019: A retrospective study.

Takayama Wataru W Endo Akira A Otomo Yasuhiro Y

The American journal of emergency medicine 20220527

<h4>Background</h4>Although several reports recommend the use of systemic anticoagulation therapy in patients with severe coronavirus disease 2019 (COVID-19) pneumonia, appropriate target population and timing of administration are unknown. We assessed association between therapeutic anticoagulation administration with unfractionated heparin and outcomes in patients with severe COVID-19 pneumonia, assuming that anticoagulant administration effects are influenced by therapy timing.<h4>Methods</h4 ...[more]

PMID: 35640454

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Project description:Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus. Although it is known that the COVID-19 acute respiratory distress syndrome (ARDS) is associated with higher incidence of pulmonary barotrauma, unique mechanisms causing the aforementioned complication are still to be investigated. The goal of this research was to investigate the incidence of barotrauma among COVID-19 patients treated in the intensive care unit (ICU) and to examine different clinical outcomes among those subjects. This retrospective observational cohort study included adult COVID-19 patients admitted to ICU from September 1, 2020, to February 28, 2022. All admitted subjects received invasive respiratory support. Subjects were divided into two groups based on occurrence of pulmonary barotrauma. Data were collected from available electronical medical records. In the study period, a total of 900 subjects met inclusion criteria. Pulmonary barotrauma occurred in 88 (9.8%) of them. Subcutaneous emphysema developed in 73 (83%), pneumomediastinum in 68 (77.3%) and pneumothorax in 54 (61.4%) subjects. A small group of subjects developed less common complications like pneumoperitoneum (8 subjects, 9.1%) and pneumopericardium (2 subjects, 2.3%). Survival rate was higher in control than in barotrauma group [396 (48.8%) vs. 22 (25.0%), P<0.05]. There was also a significant difference between two groups in PaO2/FiO2 ratio on admission, duration of non-invasive respiratory support before mechanical ventilation, duration of mechanical ventilation and duration of ICU and hospital stay, all in favour of control group. Development of barotrauma in patients with severe forms of COVID-19 disease and in need of respiratory support is associated with longer ICU and hospital stay as well as lower survival rates at hospital discharge. Further efforts are needed in understanding mechanism in developing barotrauma and finding new prevention and treatment options.

Project description:BackgroundThrombosis and inflammation may contribute to morbidity and mortality among patients with coronavirus disease 2019 (Covid-19). We hypothesized that therapeutic-dose anticoagulation would improve outcomes in critically ill patients with Covid-19.MethodsIn an open-label, adaptive, multiplatform, randomized clinical trial, critically ill patients with severe Covid-19 were randomly assigned to a pragmatically defined regimen of either therapeutic-dose anticoagulation with heparin or pharmacologic thromboprophylaxis in accordance with local usual care. The primary outcome was organ support-free days, evaluated on an ordinal scale that combined in-hospital death (assigned a value of -1) and the number of days free of cardiovascular or respiratory organ support up to day 21 among patients who survived to hospital discharge.ResultsThe trial was stopped when the prespecified criterion for futility was met for therapeutic-dose anticoagulation. Data on the primary outcome were available for 1098 patients (534 assigned to therapeutic-dose anticoagulation and 564 assigned to usual-care thromboprophylaxis). The median value for organ support-free days was 1 (interquartile range, -1 to 16) among the patients assigned to therapeutic-dose anticoagulation and was 4 (interquartile range, -1 to 16) among the patients assigned to usual-care thromboprophylaxis (adjusted proportional odds ratio, 0.83; 95% credible interval, 0.67 to 1.03; posterior probability of futility [defined as an odds ratio <1.2], 99.9%). The percentage of patients who survived to hospital discharge was similar in the two groups (62.7% and 64.5%, respectively; adjusted odds ratio, 0.84; 95% credible interval, 0.64 to 1.11). Major bleeding occurred in 3.8% of the patients assigned to therapeutic-dose anticoagulation and in 2.3% of those assigned to usual-care pharmacologic thromboprophylaxis.ConclusionsIn critically ill patients with Covid-19, an initial strategy of therapeutic-dose anticoagulation with heparin did not result in a greater probability of survival to hospital discharge or a greater number of days free of cardiovascular or respiratory organ support than did usual-care pharmacologic thromboprophylaxis. (REMAP-CAP, ACTIV-4a, and ATTACC ClinicalTrials.gov numbers, NCT02735707, NCT04505774, NCT04359277, and NCT04372589.).

Project description:BackgroundThrombosis and inflammation may contribute to the risk of death and complications among patients with coronavirus disease 2019 (Covid-19). We hypothesized that therapeutic-dose anticoagulation may improve outcomes in noncritically ill patients who are hospitalized with Covid-19.MethodsIn this open-label, adaptive, multiplatform, controlled trial, we randomly assigned patients who were hospitalized with Covid-19 and who were not critically ill (which was defined as an absence of critical care-level organ support at enrollment) to receive pragmatically defined regimens of either therapeutic-dose anticoagulation with heparin or usual-care pharmacologic thromboprophylaxis. The primary outcome was organ support-free days, evaluated on an ordinal scale that combined in-hospital death (assigned a value of -1) and the number of days free of cardiovascular or respiratory organ support up to day 21 among patients who survived to hospital discharge. This outcome was evaluated with the use of a Bayesian statistical model for all patients and according to the baseline d-dimer level.ResultsThe trial was stopped when prespecified criteria for the superiority of therapeutic-dose anticoagulation were met. Among 2219 patients in the final analysis, the probability that therapeutic-dose anticoagulation increased organ support-free days as compared with usual-care thromboprophylaxis was 98.6% (adjusted odds ratio, 1.27; 95% credible interval, 1.03 to 1.58). The adjusted absolute between-group difference in survival until hospital discharge without organ support favoring therapeutic-dose anticoagulation was 4.0 percentage points (95% credible interval, 0.5 to 7.2). The final probability of the superiority of therapeutic-dose anticoagulation over usual-care thromboprophylaxis was 97.3% in the high d-dimer cohort, 92.9% in the low d-dimer cohort, and 97.3% in the unknown d-dimer cohort. Major bleeding occurred in 1.9% of the patients receiving therapeutic-dose anticoagulation and in 0.9% of those receiving thromboprophylaxis.ConclusionsIn noncritically ill patients with Covid-19, an initial strategy of therapeutic-dose anticoagulation with heparin increased the probability of survival to hospital discharge with reduced use of cardiovascular or respiratory organ support as compared with usual-care thromboprophylaxis. (ATTACC, ACTIV-4a, and REMAP-CAP ClinicalTrials.gov numbers, NCT04372589, NCT04505774, NCT04359277, and NCT02735707.).

Project description:BackgroundThe current worldwide pandemic of Coronavirus Disease 2019 (COVID-19) has posed a serious threat to global public health, and the mortality rate of critical ill patients remains high. The purpose of this study was to identify factors that early predict the progression of COVID-19 from severe to critical illness.MethodsThis retrospective cohort study included adult patients with severe or critical ill COVID-19 who were consecutively admitted to the Zhongfaxincheng campus of Tongji Hospital (Wuhan, China) from February 8 to 18, 2020. Baseline variables, data at hospital admission and during hospital stay, as well as clinical outcomes were collected from electronic medical records system. The primary endpoint was the development of critical illness. A multivariable logistic regression model was used to identify independent factors that were associated with the progression from severe to critical illness.ResultsA total of 138 patients were included in the analysis; of them 119 were diagnosed as severe cases and 16 as critical ill cases at hospital admission. During hospital stay, 19 more severe cases progressed to critical illness. For all enrolled patients, longer duration from diagnosis to admission (odds ratio [OR] 1.108, 95% CI 1.022-1.202; P = 0.013), pulse oxygen saturation at admission <93% (OR 5.775, 95% CI 1.257-26.535; P = 0.024), higher neutrophil count (OR 1.495, 95% CI 1.177-1.899; P = 0.001) and higher creatine kinase-MB level at admission (OR 2.449, 95% CI 1.089-5.511; P = 0.030) were associated with a higher risk, whereas higher lymphocyte count at admission (OR 0.149, 95% CI 0.026-0.852; P = 0.032) was associated with a lower risk of critical illness development. For the subgroup of severe cases at hospital admission, the above factors except creatine kinase-MB level were also found to have similar correlation with critical illness development.ConclusionsHigher neutrophil count and lower lymphocyte count at admission were early independent predictors of progression to critical illness in severe COVID-19 patients.

Project description:PurposeCoronavirus disease 2019 (COVID-19) is a recently declared worldwide pandemic. Triaging of patients into severe and non-severe could further help in targeted management. "Potential severe patients" is a category of patients who did not have severe symptoms at their initial diagnosis, but eventually progressed to be severe patients and are easily overlooked in the early stage. This work aimed to develop and evaluate a CT-based radiomics signature for the prediction of these potential severe COVID-19 patients.MethodsOne hundred fifty COVID-19 patients were enrolled and randomly divided into cross-validation and independent test sets. First, their clinical characteristics were screened using the univariate and multivariate logistic regression step by step. Then, radiomics features were extracted from the lesions on their chest CT images. Subsequently, the inter- and intra-class correlation coefficients (ICC) analysis, minimum-redundancy maximum-relevance (mRMR) selection, and the least absolute shrinkage and selection operator (LASSO) algorithm were used step by step for feature selection and construction of a radiomics signature. Finally, the screened clinical risk factors and constructed radiomics signature were combined for the combined model and Radiomics+Clinics nomogram construction. The predictive performance of the Radiomics and Combined models were evaluated and compared using receiver operating characteristic curve (ROC) analysis, Hosmer-Lemeshow test and Delong test.ResultsClinical characteristics analysis resulted in the screening of five clinical risk factors. The combination of ICC, mRMR, and LASSO methods resulted in the selection of ten radiomics features, which made up of the radiomics signature. The differences in the radiomics signature between the potential severe and non-severe groups in cross-validation set and test sets were both p < 0.001. All Radiomics and Combined models showed a very good predictive performance with the accuracy and AUC of nearly or above 0.9. Additionally, we found no significant difference in the predictive performance between these two models.ConclusionsA CT-based radiomics signature for the prediction of potential severe COVID-19 patients was constructed and evaluated. Constructed Radiomics and Combined model showed good feasibility and accuracy. The Radiomics+Clinical nomogram, acted as a useful tool, may assist clinicians to better identify potential severe cases to target their management in the COVID-19 pandemic prevention and control.

Dataset Information

Therapeutic anticoagulation using heparin in early phase severe coronavirus disease 2019: A retrospective study.

Background

Methods

Results

Conclusions

Publications

Therapeutic anticoagulation using heparin in early phase severe coronavirus disease 2019: A retrospective study.

Similar Datasets

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