Evidence map›Paper›PMID 33708136›Full record

ArticleFrontiers in physiology2021

Correlation of Coagulation Parameters With Clinical Outcomes During the Coronavirus-19 Surge in New York: Observational Cohort.

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

Abstract read
In one paragraph

Article in Frontiers in physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 5 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Morayma Reyes GilDepartment of Pathology, Albert Einstein College of Medicine, Montefiore Medical Center, New York City, NY, United States.
Jesus D Gonzalez-LugoDivision of Hematology, Department of Medical Oncology, Albert Einstein College of Medicine, Montefiore Medical Center, New York City, NY, United States.
Shafia RahmanDivision of Hematology, Department of Medical Oncology, Albert Einstein College of Medicine, Montefiore Medical Center, New York City, NY, United States.
Mohammad BarouqaDepartment of Pathology, Albert Einstein College of Medicine, Montefiore Medical Center, New York City, NY, United States.
James SzymanskiDepartment of Pathology, Albert Einstein College of Medicine, Montefiore Medical Center, New York City, NY, United States.
Kenji IkemuraDepartment of Pathology, Albert Einstein College of Medicine, Montefiore Medical Center, New York City, NY, United States.
Yungtai LoDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Montefiore Medical Center, New York City, NY, United States.
Henny H BillettDivision of Hematology, Departments of Oncology and Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, New York City, NY, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

importanceCOVID-19 has caused a worldwide illness and New York became the epicenter of COVID-19 in the United States from Mid-March to May 2020.

objectiveTo investigate the coagulopathic presentation of COVID and its natural course during the early stages of the COVID-19 surge in New York. To investigate whether hematologic and coagulation parameters can be used to assess illness severity and death.

designRetrospective case study of positive COVID inpatients between March 20, 2020-March 31, 2020.

settingMontefiore Health System main hospital, Moses, a large tertiary care center in the Bronx.

participantsAdult inpatients with positive COVID tests hospitalized at MHS. EXPOSURE FOR OBSERVATIONAL STUDIES: Datasets of participants were queried for demographic (age, sex, socioeconomic status, and self-reported race and/or ethnicity), clinical and laboratory data. MAIN OUTCOME AND MEASURES: Relationship and predictive value of measured parameters to mortality and illness severity.

resultsOf the 225 in this case review, 75 died during hospitalization while 150 were discharged home. Only the admission PT, absolute neutrophil count (ANC) and first D-Dimer could 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 2.1 μg/mL. 15% of discharged patients required readmission and more than a third of readmitted patients died (5% of all initially discharged).

conclusionWe describe here a comprehensive assessment of hematologic and coagulation parameters in COVID-19 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. Furthermore, D-Dimer may be useful to follow up discharged patients.

Indexed as

coagulopathyCOVID-19D-DimerNew York Cityprothrombin time

Identifiers

PMID33708136
PMCPMC7940374

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.