Characteristics and Risk Factors for Mortality by Coronavirus Disease 2019 Pandemic Waves in Fulton County, Georgia : A Cohort Study March 2020-February 2021
© The Author(s) 2022. Published by Oxford University Press on behalf of Infectious Diseases Society of America..
Background: We examined differences in mortality among coronavirus disease 2019 (COVID-19) cases in the first, second, and third waves of the COVID-19 pandemic.
Methods: A retrospective cohort study of COVID-19 cases in Fulton County, Georgia, USA, reported to a public health surveillance from March 2020 through February 2021. We estimated case-fatality rates (CFR) by wave and used Cox proportional hazards random-effects models in each wave, with random effects at individual and long-term-care-facility level, to determine risk factors associated with rates of mortality.
Results: Of 75 289 confirmed cases, 4490 (6%) were diagnosed in wave 1 (CFR 31 deaths/100 000 person days [pd]), 24 293 (32%) in wave 2 (CFR 7 deaths/100 000 pd), and 46 506 (62%) in wave 3 (CFR 9 deaths/100 000 pd). Compared with females, males were more likely to die in each wave: wave 1 (adjusted hazard ratio [aHR], 1.5; 95% confidence interval [CI], 1.2-1.8), wave 2 (aHR 1.5, 95% CI, 1.2-1.8), and wave 3 (aHR 1.7, 95% CI, 1.5-2.0). Compared with non-Hispanic whites, non-Hispanic blacks were more likely to die in each wave: wave 1 (aHR, 1.4; 95% CI, 1.1-1.8), wave 2 (aHR, 1.5; 95% CI, 1.2-1.9), and wave 3 (aHR, 1.7; 95% CI, 1.4-2.0). Cases with any disability, chronic renal disease, and cardiovascular disease were more likely to die in each wave compared with those without these comorbidities.
Conclusions: Our study found gender and racial/ethnic disparities in COVID-19 mortality and certain comorbidities associated with COVID-19 mortality. These factors have persisted throughout the COVID-19 pandemic waves, despite improvements in diagnosis and treatment.
Medienart: |
E-Artikel |
---|
Erscheinungsjahr: |
2022 |
---|---|
Erschienen: |
2022 |
Enthalten in: |
Zur Gesamtaufnahme - volume:9 |
---|---|
Enthalten in: |
Open forum infectious diseases - 9(2022), 4 vom: 21. Apr., Seite ofac101 |
Sprache: |
Englisch |
---|
Beteiligte Personen: |
Chishinga, Nathaniel [VerfasserIn] |
---|
Links: |
---|
Themen: |
COVID-19 |
---|
Anmerkungen: |
Date Revised 02.04.2022 published: Electronic-eCollection Citation Status PubMed-not-MEDLINE |
---|
doi: |
10.1093/ofid/ofac101 |
---|
funding: |
|
---|---|
Förderinstitution / Projekttitel: |
|
PPN (Katalog-ID): |
NLM338901914 |
---|
LEADER | 01000naa a22002652 4500 | ||
---|---|---|---|
001 | NLM338901914 | ||
003 | DE-627 | ||
005 | 20231226001717.0 | ||
007 | cr uuu---uuuuu | ||
008 | 231226s2022 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1093/ofid/ofac101 |2 doi | |
028 | 5 | 2 | |a pubmed24n1129.xml |
035 | |a (DE-627)NLM338901914 | ||
035 | |a (NLM)35360195 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
100 | 1 | |a Chishinga, Nathaniel |e verfasserin |4 aut | |
245 | 1 | 0 | |a Characteristics and Risk Factors for Mortality by Coronavirus Disease 2019 Pandemic Waves in Fulton County, Georgia |b A Cohort Study March 2020-February 2021 |
264 | 1 | |c 2022 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a ƒaComputermedien |b c |2 rdamedia | ||
338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
500 | |a Date Revised 02.04.2022 | ||
500 | |a published: Electronic-eCollection | ||
500 | |a Citation Status PubMed-not-MEDLINE | ||
520 | |a © The Author(s) 2022. Published by Oxford University Press on behalf of Infectious Diseases Society of America. | ||
520 | |a Background: We examined differences in mortality among coronavirus disease 2019 (COVID-19) cases in the first, second, and third waves of the COVID-19 pandemic | ||
520 | |a Methods: A retrospective cohort study of COVID-19 cases in Fulton County, Georgia, USA, reported to a public health surveillance from March 2020 through February 2021. We estimated case-fatality rates (CFR) by wave and used Cox proportional hazards random-effects models in each wave, with random effects at individual and long-term-care-facility level, to determine risk factors associated with rates of mortality | ||
520 | |a Results: Of 75 289 confirmed cases, 4490 (6%) were diagnosed in wave 1 (CFR 31 deaths/100 000 person days [pd]), 24 293 (32%) in wave 2 (CFR 7 deaths/100 000 pd), and 46 506 (62%) in wave 3 (CFR 9 deaths/100 000 pd). Compared with females, males were more likely to die in each wave: wave 1 (adjusted hazard ratio [aHR], 1.5; 95% confidence interval [CI], 1.2-1.8), wave 2 (aHR 1.5, 95% CI, 1.2-1.8), and wave 3 (aHR 1.7, 95% CI, 1.5-2.0). Compared with non-Hispanic whites, non-Hispanic blacks were more likely to die in each wave: wave 1 (aHR, 1.4; 95% CI, 1.1-1.8), wave 2 (aHR, 1.5; 95% CI, 1.2-1.9), and wave 3 (aHR, 1.7; 95% CI, 1.4-2.0). Cases with any disability, chronic renal disease, and cardiovascular disease were more likely to die in each wave compared with those without these comorbidities | ||
520 | |a Conclusions: Our study found gender and racial/ethnic disparities in COVID-19 mortality and certain comorbidities associated with COVID-19 mortality. These factors have persisted throughout the COVID-19 pandemic waves, despite improvements in diagnosis and treatment | ||
650 | 4 | |a Journal Article | |
650 | 4 | |a COVID-19 | |
650 | 4 | |a case fatality rate | |
650 | 4 | |a cohort | |
650 | 4 | |a mortality | |
650 | 4 | |a risk factors | |
700 | 1 | |a Smith, Sasha |e verfasserin |4 aut | |
700 | 1 | |a Gandhi, Neel R |e verfasserin |4 aut | |
700 | 1 | |a Onwubiko, Udodirim N |e verfasserin |4 aut | |
700 | 1 | |a Telford, Carson |e verfasserin |4 aut | |
700 | 1 | |a Prieto, Juliana |e verfasserin |4 aut | |
700 | 1 | |a Chamberlain, Allison T |e verfasserin |4 aut | |
700 | 1 | |a Khan, Shamimul |e verfasserin |4 aut | |
700 | 1 | |a Williams, Steve |e verfasserin |4 aut | |
700 | 1 | |a Khan, Fazle |e verfasserin |4 aut | |
700 | 1 | |a Sarita Shah, N |e verfasserin |4 aut | |
773 | 0 | 8 | |i Enthalten in |t Open forum infectious diseases |d 2014 |g 9(2022), 4 vom: 21. Apr., Seite ofac101 |w (DE-627)NLM243576811 |x 2328-8957 |7 nnns |
773 | 1 | 8 | |g volume:9 |g year:2022 |g number:4 |g day:21 |g month:04 |g pages:ofac101 |
856 | 4 | 0 | |u http://dx.doi.org/10.1093/ofid/ofac101 |3 Volltext |
912 | |a GBV_USEFLAG_A | ||
912 | |a GBV_NLM | ||
951 | |a AR | ||
952 | |d 9 |j 2022 |e 4 |b 21 |c 04 |h ofac101 |