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Insufficient hyperfibrinolysis in COVID-19: a systematic review of thrombolysis based on meta-analysis and
Insights
Elevated D-dimer levels in COVID-19 patients indicate a higher risk of mortality and severe complications. This study links D-dimer to various clinical factors, suggesting a complex fibrinolysis derangement in the disease.
Area of Science:
- Pathology
- Hematology
- Infectious Diseases
Background:
- Aberrant fibrinolysis in COVID-19 presents a significant clinical challenge.
- Investigating the role of elevated plasma D-dimer in COVID-19 pathogenesis is crucial.
Approach:
- Systematic review and meta-analysis of 42 studies (n=14,862 patients).
- Meta-regression used to correlate D-dimer with clinical variables.
- Data searched and analyzed from studies published until August 18, 2020.
Key Points:
- Elevated D-dimer significantly associated with COVID-19 severity and mortality.
- 58 clinical variables correlated with D-dimer; 22 independently associated, including respiratory rate, glucose, and liver enzymes.
- Proposed mechanism: 'insufficient hyperfibrinolysis' where accelerated fibrinolysis fails to prevent adverse outcomes.
Conclusions:
- Elevated D-dimer is an independent predictor of mortality and severe complications in COVID-19.
- D-dimer and associated biomarkers can aid in risk stratification and monitoring therapeutic interventions.
- Findings highlight complex systemic and local fibrinolysis derangements in COVID-19 pathogenesis.
Abstract:
Background How aberrant fibrinolysis influences the clinical progression of COVID-19 presents a clinicopathological dilemma challenging intensivists. To investigate whether abnormal fibrinolysis is a culprit or protector or both, we associated elevated plasma D-dimer with clinical variables to identify a panoramic view of the derangements of fibrinolysis that contribute to the pathogenesis of COVID-19 based on studies available in the literature. Methods We performed this systematic review based on both meta-analysis and meta-regression to compute the correlation of D-dimer at admission with clinical features of COVID-19 patients in retrospective studies or case series. We searched the databases until Aug 18, 2020, with no limitations by language. The first hits were screened, data extracted, and analyzed in duplicate. We did the random-effects meta-analyses and meta-regressions (both univariate and multivariate). D-dimer associated clinical variables and potential mechanisms were schematically reasoned and graphed. Findings Our search identified 42 observational, or retrospective, or case series from six countries (n=14,862 patients) with all races and ages from 1 to 98-year-old. The weighted mean difference of D-dimer was 0.97 μg/mL (95% CI 0.65, 1.29) between relatively mild (or healthy control) and severely affected groups with significant publication bias. Univariate meta-regression identified 58 of 106 clinical variables were associated with plasma D-dimer levels, including 3 demographics, 5 comorbidies, 22 laboratory tests, 18 organ injury biomarkers, 8 severe complications, and 2 outcomes (discharge and death). Of these, 11 readouts were negatively associated with the level of plasma D-dimer. Further, age and gender were confounding factors for the identified D-dimer associated variables. There were 22 variables independently correlated with the D-dimer level, including respiratory rate, dyspnea plasma K+, glucose, SpO2, BUN, bilirubin, ALT, AST, systolic blood pressure, and CK. We thus propose that "insufficient hyperfibrinolysis (fibrinolysis is accelerated but unable to prevent adverse clinical impact for clinical deterioration COVID-19)" as a peculiar mechanism. Interpretation The findings of this meta-analysis- and meta-regression-based systematic review supports elevated D-dimer as an independent predictor for mortality and severe complications. D-dimer-associated clinical variables draw a landscape integrating the aggregate effects of systemically suppressive and locally (i.e., in the lung) hyperactive derangements of fibrinolysis. D-dimer and associated clinical biomarkers and conceptually parameters could be combined for risk stratification, potentially for tracking thrombolytic therapy or alternative interventions.
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