About: COVID-19 infections and outcomes in patients with multiple myeloma in New York City: a cohort study from five academic centers

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: COVID-19 infections and outcomes in patients with multiple myeloma in New York City: a cohort study from five academic centers Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	COVID-19 infections and outcomes in patients with multiple myeloma in New York City: a cohort study from five academic centers
Creator	Lu, Sydney Smith, Eric Authors, Corresponding Braunstein, Marc Chari, Ajai Davies, Faith Derkacs, Andriy Diamond, Benjamin Gordillo, Christian Hassoun, Hani Hultcrantz, Malin Jagannath, Sundar Kaminetsky, David Korde, Neha Landgren, Ola Lentzsch, Suzanne Lesokhin, Alexander Madduri, Deepu Maura, Francesco Morgan, Gareth Niesvizky, Ruben Patel, Dhwani Pearse, Roger Richter, Joshua Rosenbaum, Cara Rossi, Adriana Shah, Urvi Tan, Carlyn Mbbs, Sham
Source	MedRxiv; Medline; PMC
abstract	IMPORTANCE: New York City is a global epicenter for the SARS-CoV-2 outbreak with a significant number of individuals infected by the virus. Patients with multiple myeloma have a compromised immune system, due to both the disease and anti-myeloma therapies, and may therefore be particularly susceptible to coronavirus disease 2019 (COVID-19); however, there is limited information to guide clinical management. OBJECTIVE: To assess risk factors and outcomes of COVID-19 in patients with multiple myeloma. DESIGN: Case-series. SETTING: Five large academic centers in New York City. PARTICIPANTS: Patients with multiple myeloma and related plasma cell disorders who were diagnosed with COVID-19 between March 10(th), 2020 and April 30(th,) 2020. EXPOSURES: Clinical features and risk factors were analyzed in relation to severity of COVID-19. MAIN OUTCOMES AND MEASURES: Descriptive statistics as well as logistic regression were used to estimate disease severity reflected in hospital admissions, intensive care unit (ICU) admission, need for mechanical ventilation, or death. RESULTS: Of 100 multiple myeloma patients (male 58%; median age 68, range 41–91) diagnosed with COVID-19, 74 (74%) were admitted; of these 13 (18%) patients were placed on mechanical ventilation, and 18 patients (24%) expired. None of the studied risk factors were significantly associated (P>0.05) with adverse outcomes (ICU-admission, mechanical ventilation, or death): hypertension (N=56) odds ratio (OR) 2.3 (95% confidence interval [CI] 0.9–5.9); diabetes (N=18) OR 1.1 (95% CI 0.3–3.2); age >65 years (N=63) OR 2.0 (95% CI 0.8–5.3); high dose melphalan with autologous stem cell transplant <12 months (N=7) OR 1.2 (95% CI 0.2–7.4), IgG<650 mg/dL (N=42) OR=1.2 (95% CI 0.4–3.1). In the entire series of 127 patients with plasma cell disorders, hypertension was significantly associated with the combined end-point (OR 3.4, 95% CI 1.5–8.1). CONCLUSIONS AND RELEVANCE: Although multiple myeloma patients have a compromised immune system due to both the disease and therapy; in this largest disease specific cohort to date of patients with multiple myeloma and COVID-19, compared to the general population, we found risk factors for adverse outcome to be shared and mortality rates to be within the higher range of officially reported mortality rates.
has issue date	2020-06-11(xsd:dateTime)
bibo:doi	10.1101/2020.06.09.20126516
bibo:pmid	32577667
has license	no-cc
sha1sum (hex)	c87e815e012f71cb61861f32276172673b0195c9
schema:url	https://doi.org/10.1101/2020.06.09.20126516
resource representing a document's title	COVID-19 infections and outcomes in patients with multiple myeloma in New York City: a cohort study from five academic centers
has PubMed Central identifier	PMC7302217
has PubMed identifier	32577667
schema:publication	medRxiv : the preprint server for health sciences
resource representing a document's body	covid:c87e815e012f71cb61861f32276172673b0195c9#body_text
is schema:about of	named entity 'mechanical ventilation' named entity 'number' named entity 'disease' named entity 'COVID-19' named entity 'myeloma' named entity 'SETTING' named entity 'NEW YORK CITY' named entity 'PARTICIPANTS' named entity 'RISK FACTORS' named entity 'AGE' named entity 'ASSOCIATED' named entity 'risk factors' named entity 'myeloma' named entity 'myeloma' named entity 'adverse' named entity 'plasma cell' named entity 'New York City' named entity 'plasma cell' named entity 'logistic regression' named entity 'Descriptive statistics' named entity 'mechanical ventilation' named entity 'COVID' named entity 'multiple myeloma' named entity 'mechanical ventilation' named entity 'myeloma' named entity 'multiple myeloma' named entity 'SARS-CoV-2 outbreak' named entity 'median age' named entity 'COVID' named entity 'ICU' named entity 'intensive care unit' named entity 'COVID-19 infections' named entity 'multiple myeloma' named entity 'COVID-19' named entity 'IgG' named entity 'thromboembolic events' named entity 'humoral' named entity 'melphalan' named entity 'CC-BY-NC-ND 4.0' named entity 'D-dimer' named entity 'multiple myeloma' named entity 'IL-6' named entity 'medRxiv' named entity 'COVID' named entity 'comorbidities' named entity 'immunotherapy' named entity 'allogeneic stem cell transplant' named entity 'Hypogammaglobulinemia' named entity 'lymphocytes' named entity 'medRxiv' named entity 'immune dysregulation' named entity 'hematological malignancies' named entity 'mechanical ventilation'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software