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1.
SSM Popul Health ; : 101299, 2022 Nov 26.
Artículo en Inglés | MEDLINE | ID: covidwho-2122818

RESUMEN

Background: Populations who are incarcerated have experienced disproportionately high coronavirus disease 2019 (COVID-2019) mortality rates compared to the general population. However, mortality rates by race/ethnicity from federal, state, and local carceral settings are largely unavailable due to unregulated reporting; therefore, racial/ethnic inequities have yet to be examined. We aimed to estimate coronavirus disease 2019 (COVID-19) mortality rates among individuals incarcerated in U.S. state prisons by race and ethnicity (RE). Methods: Freedom of Information Act requests to state Departments of Corrections were used to identify deaths from COVID-19 among incarcerated adults occurring from March 1-October 1, 2020. We requested race, ethnicity, and age specific data on deaths and custody populations; sufficient data to calculate age-adjusted rates were obtained for 11 state systems. Race and ethnic specific unadjusted deaths rates per 100,000 persons were calculated overall and by state, based on March 1, 2020 custody populations. Rate ratios (RR) and 95% confidence intervals (95%CI) compared aggregated age-adjusted death rates by race and ethnicity, with White individuals as the reference group. Results: Of all COVID-related deaths in U.S. prisons through October 2020, 23.35% (272 of 1165) were captured in our analyses. The average age at COVID-19 death was 63 years (SD = 10 years) and was significantly lower among Black (60 years, SD = 11 years) compared to White adults (66 years, SD = 10 years; p < 0.001). In age-standardized analysis, COVID-19 death rates were significantly higher among Black (RR = 1.93, 95% CI: 1.25-2.99), Hispanic (RR = 1.81, 95% CI: 1.10-2.96) and those of Other racial and ethnic groups (RR = 2.60, 95% CI: 1.01-6.67) when compared to White individuals. Conclusions: Age-standardized death rates were higher among incarcerated Black, Hispanic and those of Other racial and ethnic groups compared to their White counterparts. Greater data transparency from all carceral systems is needed to better understand populations at disproportionate risk of COVID-19 morbidity and mortality.

2.
Eur Heart J ; 42(23): 2270-2279, 2021 06 14.
Artículo en Inglés | MEDLINE | ID: covidwho-1032166

RESUMEN

BACKGROUND: A systemic inflammatory response is observed in coronavirus disease 2019 (COVID-19). Elevated serum levels of C-reactive protein (CRP), a marker of systemic inflammation, are associated with severe disease in bacterial or viral infections. We aimed to explore associations between CRP concentration at initial hospital presentation and clinical outcomes in patients with COVID-19. METHODS AND RESULTS: Consecutive adults aged ≥18 years with COVID-19 admitted to a large New York healthcare system between 1 March and 8 April 2020 were identified. Patients with measurement of CRP were included. Venous thrombo-embolism (VTE), acute kidney injury (AKI), critical illness, and in-hospital mortality were determined for all patients. Among 2782 patients hospitalized with COVID-19, 2601 (93.5%) had a CRP measurement [median 108 mg/L, interquartile range (IQR) 53-169]. CRP concentrations above the median value were associated with VTE [8.3% vs. 3.4%; adjusted odds ratio (aOR) 2.33, 95% confidence interval (CI) 1.61-3.36], AKI (43.0% vs. 28.4%; aOR 2.11, 95% CI 1.76-2.52), critical illness (47.6% vs. 25.9%; aOR 2.83, 95% CI 2.37-3.37), and mortality (32.2% vs. 17.8%; aOR 2.59, 95% CI 2.11-3.18), compared with CRP below the median. A dose response was observed between CRP concentration and adverse outcomes. While the associations between CRP and adverse outcomes were consistent among patients with low and high D-dimer levels, patients with high D-dimer and high CRP have the greatest risk of adverse outcomes. CONCLUSIONS: Systemic inflammation, as measured by CRP, is strongly associated with VTE, AKI, critical illness, and mortality in COVID-19. CRP-based approaches to risk stratification and treatment should be tested.


Asunto(s)
Proteína C-Reactiva , COVID-19 , Adolescente , Adulto , Proteína C-Reactiva/análisis , Humanos , Estudios Retrospectivos , Factores de Riesgo , SARS-CoV-2
3.
Crit Care Explor ; 2(11): e0283, 2020 Nov.
Artículo en Inglés | MEDLINE | ID: covidwho-939584

RESUMEN

To determine the impact of tocilizumab, a monoclonal antibody against the interleukin 6 receptor, on survival in patients with coronavirus disease 2019. DESIGN: Observational cohort study of patients hospitalized with coronavirus disease 2019 between March 1, 2020, and April 24, 2020. A propensity-matched (1:1) analysis was used to compare patients who received tocilizumab to controls who did not. Competing risk survival analysis was used to determine the primary outcome of time to mortality, and adjusted log-linear and logistic regression for secondary outcomes. SETTING: Three hospitals within the NYU Langone Health system in New York. PATIENTS: Consecutive adult patients hospitalized with coronavirus disease 2019. INTERVENTION: Tocilizumab 400-mg IV once in addition to standard of care or standard of care alone. MEASUREMENTS AND MAIN RESULTS: Data from 3,580 severe acute respiratory syndrome coronavirus 2 positive qualifying hospitalized patients were included, of whom 497 (13.9%) were treated with tocilizumab. In the analysis of tocilizumab-treated patients and matched controls, fewer tocilizumab-treated patients died (145/497, 29.2%) than did controls (211/497, 42.4%). In the adjusted competing risk regression model, tocilizumab therapy was associated with improved survival relative to controls (hazard ratio = 0.24, 95% CI = 0.18-0.33, p < 0.001). Tocilizumab-treated patients and controls had similar adjusted time to discharge from hospital (hazard ratio = 0.96, 95% CI = 0.78-1.17, p = 0.67). However, they had longer adjusted ICU length of stay (rate ratio = 3.1, 95% CI = 2.5-3.7, p < 0.001) and a higher adjusted infection rate (odds ratio = 4.18, 95% CI = 2.72-6.52, p < 0.001) than controls. CONCLUSIONS: Tocilizumab therapy was associated with significantly improved survival in coronavirus disease 2019 patients. This survival benefit was associated with increased ICU length of stay and increased infection rate, even as more patients in the tocilizumab group were rescued from rapid death. A prospective, randomized, placebo-controlled trial is needed to confirm these findings.

4.
Arterioscler Thromb Vasc Biol ; 40(10): 2539-2547, 2020 10.
Artículo en Inglés | MEDLINE | ID: covidwho-729442

RESUMEN

OBJECTIVE: To determine the prevalence of D-dimer elevation in coronavirus disease 2019 (COVID-19) hospitalization, trajectory of D-dimer levels during hospitalization, and its association with clinical outcomes. Approach and Results: Consecutive adults admitted to a large New York City hospital system with a positive polymerase chain reaction test for SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) between March 1, 2020 and April 8, 2020 were identified. Elevated D-dimer was defined by the laboratory-specific upper limit of normal (>230 ng/mL). Outcomes included critical illness (intensive care, mechanical ventilation, discharge to hospice, or death), thrombotic events, acute kidney injury, and death during admission. Among 2377 adults hospitalized with COVID-19 and ≥1 D-dimer measurement, 1823 (76%) had elevated D-dimer at presentation. Patients with elevated presenting baseline D-dimer were more likely than those with normal D-dimer to have critical illness (43.9% versus 18.5%; adjusted odds ratio, 2.4 [95% CI, 1.9-3.1]; P<0.001), any thrombotic event (19.4% versus 10.2%; adjusted odds ratio, 1.9 [95% CI, 1.4-2.6]; P<0.001), acute kidney injury (42.4% versus 19.0%; adjusted odds ratio, 2.4 [95% CI, 1.9-3.1]; P<0.001), and death (29.9% versus 10.8%; adjusted odds ratio, 2.1 [95% CI, 1.6-2.9]; P<0.001). Rates of adverse events increased with the magnitude of D-dimer elevation; individuals with presenting D-dimer >2000 ng/mL had the highest risk of critical illness (66%), thrombotic event (37.8%), acute kidney injury (58.3%), and death (47%). CONCLUSIONS: Abnormal D-dimer was frequently observed at admission with COVID-19 and was associated with higher incidence of critical illness, thrombotic events, acute kidney injury, and death. The optimal management of patients with elevated D-dimer in COVID-19 requires further study.


Asunto(s)
Infecciones por Coronavirus/sangre , Infecciones por Coronavirus/mortalidad , Enfermedad Crítica/epidemiología , Progresión de la Enfermedad , Productos de Degradación de Fibrina-Fibrinógeno/metabolismo , Mortalidad Hospitalaria/tendencias , Neumonía Viral/sangre , Neumonía Viral/mortalidad , Adulto , Anciano , Biomarcadores/sangre , COVID-19 , Causas de Muerte , Estudios de Cohortes , Infecciones por Coronavirus/fisiopatología , Bases de Datos Factuales , Femenino , Hospitales Urbanos , Humanos , Masculino , Persona de Mediana Edad , Ciudad de Nueva York/epidemiología , Pandemias , Neumonía Viral/fisiopatología , Prevalencia , Estudios Retrospectivos , Medición de Riesgo , Síndrome Respiratorio Agudo Grave/sangre , Síndrome Respiratorio Agudo Grave/mortalidad , Síndrome Respiratorio Agudo Grave/fisiopatología , Índice de Severidad de la Enfermedad
5.
N Engl J Med ; 382(25): 2441-2448, 2020 06 18.
Artículo en Inglés | MEDLINE | ID: covidwho-155188

RESUMEN

BACKGROUND: There is concern about the potential of an increased risk related to medications that act on the renin-angiotensin-aldosterone system in patients exposed to coronavirus disease 2019 (Covid-19), because the viral receptor is angiotensin-converting enzyme 2 (ACE2). METHODS: We assessed the relation between previous treatment with ACE inhibitors, angiotensin-receptor blockers, beta-blockers, calcium-channel blockers, or thiazide diuretics and the likelihood of a positive or negative result on Covid-19 testing as well as the likelihood of severe illness (defined as intensive care, mechanical ventilation, or death) among patients who tested positive. Using Bayesian methods, we compared outcomes in patients who had been treated with these medications and in untreated patients, overall and in those with hypertension, after propensity-score matching for receipt of each medication class. A difference of at least 10 percentage points was prespecified as a substantial difference. RESULTS: Among 12,594 patients who were tested for Covid-19, a total of 5894 (46.8%) were positive; 1002 of these patients (17.0%) had severe illness. A history of hypertension was present in 4357 patients (34.6%), among whom 2573 (59.1%) had a positive test; 634 of these patients (24.6%) had severe illness. There was no association between any single medication class and an increased likelihood of a positive test. None of the medications examined was associated with a substantial increase in the risk of severe illness among patients who tested positive. CONCLUSIONS: We found no substantial increase in the likelihood of a positive test for Covid-19 or in the risk of severe Covid-19 among patients who tested positive in association with five common classes of antihypertensive medications.


Asunto(s)
Antagonistas Adrenérgicos beta/administración & dosificación , Antagonistas de Receptores de Angiotensina/administración & dosificación , Inhibidores de la Enzima Convertidora de Angiotensina/administración & dosificación , Bloqueadores de los Canales de Calcio/administración & dosificación , Infecciones por Coronavirus/epidemiología , Neumonía Viral/epidemiología , Inhibidores de los Simportadores del Cloruro de Sodio/administración & dosificación , Antagonistas Adrenérgicos beta/efectos adversos , Adulto , Anciano , Antagonistas de Receptores de Angiotensina/efectos adversos , Inhibidores de la Enzima Convertidora de Angiotensina/efectos adversos , Antihipertensivos/administración & dosificación , Antihipertensivos/efectos adversos , Teorema de Bayes , Betacoronavirus , COVID-19 , Bloqueadores de los Canales de Calcio/efectos adversos , Femenino , Humanos , Hipertensión/complicaciones , Masculino , Persona de Mediana Edad , New York , Pandemias , Puntaje de Propensión , Sistema Renina-Angiotensina/efectos de los fármacos , Factores de Riesgo , SARS-CoV-2 , Inhibidores de los Simportadores del Cloruro de Sodio/efectos adversos
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