Correlation of coagulation parameters with clinical outcomes in Coronavirus-19 affected minorities in United States: Observational cohort

ABSTRACT Importance COVID-19 has caused a worldwide illness and New York has become the epicenter of COVID-19 in the United States. Currently Bronx has the highest prevalence per capita in New York.Objective To investigate the coagulopathic presentation of COVID and its natural course and to investigate whether hematologic and coagulation parameters can be used to assess illness severity and death.Design Retrospective case study of positive COVID inpatients between 3/20/2020-3/31/2020.Setting Montefiore Health System main hospital, Moses, a large tertiary care center in the Bronx.Participants Adult inpatients with positive COVID tests hospitalized at MHS.Exposure (for observational studies) Datasets of participants were queried for physiological, demographic (age, sex, socioeconomic status and self-reported race and/or ethnicity) and laboratory data.Main Outcome and Measures Relationship and predictive value of measured parameters to mortality and illness severity.Results Of the 217 in this case review, 70 died during hospitalization while 147 were discharged home. Only the admission PT and first D-Dimer could very significantly differentiate those who were discharged alive and those who died. Logistic regression analysis shows increased odds ratio for mortality by first D-Dimer within 48 hrs. of admission. The optimal cut-point for the initial D-Dimer to predict mortality was found to be 1.65 μg/mLConclusions We describe here a comprehensive assessment of hematologic and coagulation parameters in COVID and examine the relationship of these to mortality. We demonstrate that both initial and maximum D-Dimer values are biomarkers that can be used for survival assessments..

Medienart:

Preprint

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

bioRxiv.org - (2024) vom: 23. Apr. Zur Gesamtaufnahme - year:2024

Sprache:

Englisch

Beteiligte Personen:

Gil, Morayma Reyes [VerfasserIn]
Gonzalez-Lugo, Jesus D. [VerfasserIn]
Rahman, Shafia [VerfasserIn]
Barouqa, Mohammad [VerfasserIn]
Szymanski, James [VerfasserIn]
Ikemura, Kenji [VerfasserIn]
Lo, Yungtai [VerfasserIn]
Billett, Henny H [VerfasserIn]

Links:

Volltext [lizenzpflichtig]
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Themen:

570
Biology

doi:

10.1101/2020.05.01.20087932

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

XBI017763711