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About:
Incidence, clinical outcomes, and transmission dynamics of severe coronavirus disease 2019 in California and Washington: prospective cohort study
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An Entity of Type :
schema:ScholarlyArticle
, within Data Space :
covidontheweb.inria.fr
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document(s)
Type:
Academic Article
research paper
schema:ScholarlyArticle
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type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
has title
Incidence, clinical outcomes, and transmission dynamics of severe coronavirus disease 2019 in California and Washington: prospective cohort study
Creator
Reingold, Arthur
Jackson, Michael
Jewell, Nicholas
Mahmud, Ayesha
Lewnard, Joseph
Jewell, Britta
Schmidt, Mark
Bellows, Jim
Flores, Jean
Jentz, Chris
Liu, Vincent
Northrup, Graham
Petersen, Maya
Young, Scott
Source
Medline; PMC
abstract
OBJECTIVE: To understand the epidemiology and burden of severe coronavirus disease 2019 (covid-19) during the first epidemic wave on the west coast of the United States. DESIGN: Prospective cohort study. SETTING: Kaiser Permanente integrated healthcare delivery systems serving populations in northern California, southern California, and Washington state. PARTICIPANTS: 1840 people with a first acute hospital admission for confirmed covid-19 by 22 April 2020, among 9 596 321 healthcare plan enrollees. Analyses of hospital length of stay and clinical outcomes included 1328 people admitted by 9 April 2020 (534 in northern California, 711 in southern California, and 83 in Washington). MAIN OUTCOME MEASURES: Cumulative incidence of first acute hospital admission for confirmed covid-19, and subsequent probabilities of admission to an intensive care unit (ICU) and mortality, as well as duration of hospital stay and ICU stay. The effective reproduction number (R(E)) describing transmission dynamics was estimated for each region. RESULTS: As of 22 April 2020, cumulative incidences of a first acute hospital admission for covid-19 were 15.6 per 100 000 cohort members in northern California, 23.3 per 100 000 in southern California, and 14.7 per 100 000 in Washington. Accounting for censoring of incomplete hospital stays among those admitted by 9 April 2020, the estimated median duration of stay among survivors was 9.3 days (with 95% staying 0.8 to 32.9 days) and among non-survivors was 12.7 days (1.6 to 37.7 days). The censoring adjusted probability of ICU admission for male patients was 48.5% (95% confidence interval 41.8% to 56.3%) and for female patients was 32.0% (26.6% to 38.4%). For patients requiring critical care, the median duration of ICU stay was 10.6 days (with 95% staying 1.3 to 30.8 days). The censoring adjusted case fatality ratio was 23.5% (95% confidence interval 19.6% to 28.2%) among male inpatients and 14.9% (11.8% to 18.6%) among female inpatients; mortality risk increased with age for both male and female patients. Reductions in R(E) were identified over the study period within each region. CONCLUSIONS: Among residents of California and Washington state enrolled in Kaiser Permanente healthcare plans who were admitted to hospital with covid-19, the probabilities of ICU admission, of long hospital stay, and of mortality were identified to be high. Incidence rates of new hospital admissions have stabilized or declined in conjunction with implementation of social distancing interventions.
has issue date
2020-05-22
(
xsd:dateTime
)
bibo:doi
10.1136/bmj.m1923
bibo:pmid
32444358
has license
cc-by-nc
schema:url
https://doi.org/10.1136/bmj.m1923
resource representing a document's title
Incidence, clinical outcomes, and transmission dynamics of severe coronavirus disease 2019 in California and Washington: prospective cohort study
has PubMed Central identifier
PMC7243800
has PubMed identifier
32444358
schema:publication
BMJ
resource representing a document's body
covid:PMC7243800#body_text
is
schema:about
of
named entity 'coronavirus disease 2019'
named entity 'San Francisco Bay area'
named entity 'covid-19'
named entity 'cumulative distribution function'
named entity '24 March'
named entity 'ICU'
named entity '23 March'
named entity 'sensitivity and specificity'
named entity 'California'
named entity 'California'
named entity 'serial interval'
named entity '1.6'
named entity 'infection'
named entity 'Kaiser Permanente'
named entity 'northern California'
named entity 'covid-19'
named entity 'SARS-CoV-2'
named entity 'healthcare access'
named entity 'covid-19'
named entity '8 days'
named entity 'covid-19'
named entity 'outpatient'
named entity 'Kaiser Permanente'
named entity 'laboratory tests'
named entity 'intensive care'
named entity 'medical records'
named entity 'intensive care'
named entity 'covid-19'
named entity 'high income'
named entity 'clinical diagnoses'
named entity 'northern California'
named entity 'median age'
named entity 'southern California region'
named entity 'ICU'
named entity 'Statistical Computing'
named entity 'conditional probabilities'
named entity 'covid-19'
named entity '1 April'
named entity 'stay at home'
named entity 'ICU'
named entity 'intensive care'
named entity 'positive test'
named entity 'ICU'
named entity 'general population'
named entity 'laboratory test'
named entity 'covid-19'
named entity 'covid-19'
named entity 'log normal distribution'
named entity 'northern California'
named entity 'epidemiology'
named entity 'telehealth'
named entity 'infection'
named entity 'patient outcomes'
named entity 'Risk of death'
named entity 'probability distribution'
named entity 'interquartile range'
named entity 'Weibull distribution'
named entity 'Washington state'
named entity 'northern California'
named entity 'northern California'
named entity 'serial interval'
named entity 'Phylogenetic analyses'
named entity 'serial interval'
named entity 'hypoxia'
named entity 'China'
named entity 'intensive care unit'
named entity 'covid-19'
named entity '23.5%'
named entity 'ICU'
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