Literature DB >> 33289970

Risk Factors for SARS-CoV-2 in a Statewide Correctional System.

Byron S Kennedy1, Robert P Richeson1, Amy J Houde1.   

Abstract

Entities:  

Year:  2020        PMID: 33289970      PMCID: PMC7722688          DOI: 10.1056/NEJMc2029354

Source DB:  PubMed          Journal:  N Engl J Med        ISSN: 0028-4793            Impact factor:   91.245


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To the Editor: More than 2 million persons are incarcerated in the United States, and many of them are vulnerable to infection because of chronic medical conditions. Correctional settings are considered to be high-risk environments for transmission of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).[1-4] However, data on risk factors for SARS-CoV-2 infection and outcomes in this population are limited. We conducted both symptom-based and mass testing by reverse-transcriptase–polymerase-chain-reaction assay (Quest Diagnostics) to detect SARS-CoV-2 infection among incarcerated persons in the Connecticut statewide correctional system (prisons and jails combined) from March 13, 2020, when the first case of Covid-19 was identified in the correctional system, through June 26, 2020. A total of 10,304 persons underwent testing, with at least 14 days of follow-up after testing to monitor clinical status, such as Covid-19–related symptoms, as well as hospitalization, intensive care unit (ICU) admission, and death. The baseline characteristics of the study population are provided in Table S1 in the Supplementary Appendix, available with the full text of this letter at NEJM.org. While increased testing of asymptomatic persons was undertaken over the period of the study, the SARS-CoV-2 positivity rate in the correctional system decreased over time and plateaued on approximately June 12 (Fig. S1). We used multilevel, multivariate logistic-regression analysis to identify risk factors associated with SARS-CoV-2 infection, hospitalization, ICU admission, and death (Table S2).[5] Chronic conditions, demographic characteristics, and facility-level factors were covariates. Associations are reported as odds ratios with 95% confidence intervals. The widths of confidence intervals have not been adjusted for multiplicity and should not be used to draw inferences about definitive associations. A random-effects intercept term for each facility was used to account for clustering. For the SARS-CoV-2 prevalence model, we included only 9699 men because no female inmates tested positive. Other models included only those inmates who tested positive. Among the 1240 SARS-CoV-2–positive men (approximately 13% of the male population in the system), there were 62 hospitalizations, 20 ICU admissions, and 7 deaths. Risk factors for SARS-CoV-2 infection were dormitory housing (odds ratio, 35.3; 95% confidence interval [CI], 7.9 to 157), Hispanic or Latino ethnic group (as compared with White race) (odds ratio, 1.4; 95% CI, 1.2 to 1.6), and older age (odds ratio, 1.2 per decade; 95% CI, 1.2 to 1.3). Predictors of hospitalization were heart disease (odds ratio, 7.2; 95% CI, 2.8 to 18.5), dormitory housing (odds ratio, 0.22; 95% CI, 0.06 to 0.74), and older age (odds ratio, 2.3 per decade; 95% CI, 1.9 to 2.9). Predictors of ICU admission were heart disease (odds ratio, 7.7; 95% CI, 1.8 to 33.6), autoimmune disease (odds ratio, 13.5; 95% CI, 2.2 to 82.6), and older age (odds ratio, 2.4 per decade; 95% CI, 1.6 to 3.5). Older age was the only predictor of death (odds ratio, 3.3 per decade; 95% CI, 1.7 to 6.3). The finding that dormitory housing was the strongest risk factor for SARS-CoV-2 infection is consistent with an earlier study involving multiple prison and jail systems and suggests that social distancing is more challenging in such settings than in cells that house one or two inmates.[4] Dormitory housing may also have been protective with respect to hospitalization, and we speculate that sick inmates from dormitories were identified early and housed in cells before testing and subsequent hospitalization. Both individual factors and facility-level factors such as dormitory housing rather than cell housing were associated with SARS-CoV-2 infection and outcomes in a statewide correctional system. Whether these findings are generalizable to other correctional systems is uncertain.
  2 in total

1.  Flattening the Curve for Incarcerated Populations - Covid-19 in Jails and Prisons.

Authors:  Matthew J Akiyama; Anne C Spaulding; Josiah D Rich
Journal:  N Engl J Med       Date:  2020-04-02       Impact factor: 91.245

2.  Mass Testing for SARS-CoV-2 in 16 Prisons and Jails - Six Jurisdictions, United States, April-May 2020.

Authors:  Liesl M Hagan; Samantha P Williams; Anne C Spaulding; Robin L Toblin; Jessica Figlenski; Jeanne Ocampo; Tara Ross; Heidi Bauer; Justine Hutchinson; Kimberley D Lucas; Matthew Zahn; Chun Chiang; Timothy Collins; Alexis Burakoff; Juli Bettridge; Ginger Stringer; Randolph Maul; Kristen Waters; Courtney Dewart; Jennifer Clayton; Sietske de Fijter; Radha Sadacharan; Linda Garcia; Naomi Lockett; Kirstin Short; Laxman Sunder; Senad Handanagic
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2020-08-21       Impact factor: 17.586

  2 in total
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1.  Inclusive health: modeling COVID-19 in correctional facilities and communities.

Authors:  Scott Greenhalgh; Ashley Provencher
Journal:  BMC Public Health       Date:  2022-05-16       Impact factor: 4.135

2.  The health impacts of the COVID-19 pandemic on adults who experience imprisonment globally: A mixed methods systematic review.

Authors:  Hannah Kim; Emily Hughes; Alice Cavanagh; Emily Norris; Angela Gao; Susan J Bondy; Katherine E McLeod; Tharsan Kanagalingam; Fiona G Kouyoumdjian
Journal:  PLoS One       Date:  2022-05-20       Impact factor: 3.752

3.  Covid-19 in the California State Prison System: An Observational Study of Decarceration, Ongoing Risks, and Risk Factors.

Authors:  Elizabeth T Chin; Theresa Ryckman; Lea Prince; David Leidner; Fernando Alarid-Escudero; Jason R Andrews; Joshua A Salomon; David M Studdert; Jeremy D Goldhaber-Fiebert
Journal:  medRxiv       Date:  2021-03-08

4.  SARS-CoV-2 Infection Among Correctional Staff in the Federal Bureau of Prisons.

Authors:  Robin L Toblin; Sylvie I Cohen; Liesl M Hagan
Journal:  Am J Public Health       Date:  2021-04-15       Impact factor: 11.561

5.  Risk-Factors for Exposure Associated With SARS-CoV-2 Detection After Recent Known or Potential COVID-19 Exposures Among Patients Seeking Medical Care at a Large Urban, Public Hospital in Fulton County, Georgia - A Cross-Sectional Investigation.

Authors:  Sarah E Smith-Jeffcoat; Sadia Sleweon; Mitsuki Koh; George M Khalil; Marcos C Schechter; Paulina A Rebolledo; Vyjayanti Kasinathan; Adam Hoffman; Rebecca Rossetti; Talya Shragai; Kevin O'Laughlin; Catherine C Espinosa; Bettina Bankamp; Michael D Bowen; Ashley Paulick; Amy S Gargis; Jennifer M Folster; Juliana da Silva; Caitlin Biedron; Rebekah J Stewart; Yun F Wang; Hannah L Kirking; Jacqueline E Tate
Journal:  Front Public Health       Date:  2022-03-24

6.  Hospitalizations for COVID-19 Among US People Experiencing Incarceration or Homelessness.

Authors:  Martha P Montgomery; Kai Hong; Kristie E N Clarke; Samantha Williams; Rena Fukunaga; Victoria L Fields; Joohyun Park; Lyna Z Schieber; Lyudmyla Kompaniyets; Colleen M Ray; Lauren A Lambert; Ashley S D'Inverno; Tapas K Ray; Alexiss Jeffers; Emily Mosites
Journal:  JAMA Netw Open       Date:  2022-01-04

7.  Seroprevalence and Risk Factors for Severe Acute Respiratory Syndrome Coronavirus 2 Among Incarcerated Adult Men in Quebec, Canada, 2021.

Authors:  Nadine Kronfli; Camille Dussault; Mathieu Maheu-Giroux; Alexandros Halavrezos; Sylvie Chalifoux; Jessica Sherman; Hyejin Park; Lina Del Balso; Matthew P Cheng; Sébastien Poulin; Joseph Cox
Journal:  Clin Infect Dis       Date:  2022-08-24       Impact factor: 20.999

8.  Association Between the Use of Psychotropic Medications and the Risk of COVID-19 Infection Among Long-term Inpatients With Serious Mental Illness in a New York State-wide Psychiatric Hospital System.

Authors:  Katlyn Nemani; Sharifa Z Williams; Mark Olfson; Emily Leckman-Westin; Molly Finnerty; Jammie Kammer; Thomas E Smith; Daniel J Silverman; Jean-Pierre Lindenmayer; Gillian Capichioni; James Clelland; Donald C Goff
Journal:  JAMA Netw Open       Date:  2022-05-02

9.  COVID-19 in the California State Prison System: an Observational Study of Decarceration, Ongoing Risks, and Risk Factors.

Authors:  Elizabeth T Chin; Theresa Ryckman; Lea Prince; David Leidner; Fernando Alarid-Escudero; Jason R Andrews; Joshua A Salomon; David M Studdert; Jeremy D Goldhaber-Fiebert
Journal:  J Gen Intern Med       Date:  2021-07-21       Impact factor: 5.128

  9 in total

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