Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 9 de 9
Filtrar
Más filtros










Base de datos
Intervalo de año de publicación
1.
Arch Intern Med Res ; 7(1): 27-41, 2024.
Artículo en Inglés | MEDLINE | ID: mdl-38694760

RESUMEN

Background and aim: Identifying clinical characteristics and outcomes of different ethnicities in the US may inform treatment for hospitalized COVID-19 patients. Aim of this study is to identify predictors of mortality among US races/ethnicities. Design Setting and participants: We retrospectively analyzed de-identified data from 9,873 COVID-19 patients who were hospitalized at 15 US hospital centers in 11 states (March 2020-November 2020). Main Outcomes and Measures: The primary outcome was to identify predictors of mortality in hospitalized COVID-19 patients. Results: Among the 9,873 patients, there were 64.1% African Americans (AA), 19.8% Caucasians, 10.4% Hispanics, and 5.7% Asians, with 50.7% female. Males showed higher in-hospital mortality (20.9% vs. 15.3%, p=0.001). Non- survivors were significantly older (67 vs. 61 years) than survivors. Patients in New York had the highest in-hospital mortality (OR=3.54 (3.03 - 4.14)). AA patients possessed higher prevalence of comorbidities, had longer hospital stay, higher ICU admission rates, increased requirement for mechanical ventilation and higher in-hospital mortality compared to other races/ethnicities. Gastrointestinal symptoms (GI), particularly diarrhea, were more common among minority patients. Among GI symptoms and laboratory findings, abdominal pain (5.3%, p=0.03), elevated AST (n=2653, 50.2%, p=<0.001, OR=2.18), bilirubin (n=577, 12.9%, p=0.01) and low albumin levels (n=361, 19.1%, p=0.03) were associated with mortality. Multivariate analysis (adjusted for age, sex, race, geographic location) indicates that patients with asthma, COPD, cardiac disease, hypertension, diabetes mellitus, immunocompromised status, shortness of breath and cough possess higher odds of in-hospital mortality. Among laboratory parameters, patients with lymphocytopenia (OR2=2.50), lymphocytosis (OR2=1.41), and elevations of serum CRP (OR2=4.19), CPK (OR2=1.43), LDH (OR2=2.10), troponin (OR2=2.91), ferritin (OR2=1.88), AST (OR2=2.18), D-dimer (OR2=2.75) are more prone to death. Patients on glucocorticoids (OR2=1.49) and mechanical ventilation (OR2=9.78) have higher in-hospital mortality. Conclusion: These findings suggest that older age, male sex, AA race, and hospitalization in New York were associated with higher in-hospital mortality rates from COVID-19 in early pandemic stages. Other predictors of mortality included the presence of comorbidities, shortness of breath, cough elevated serum inflammatory markers, altered lymphocyte count, elevated AST, and low serum albumin. AA patients comprised a disproportionate share of COVID-19 death in the US during 2020 relative to other races/ethnicities.

2.
J Racial Ethn Health Disparities ; 10(1): 160-167, 2023 02.
Artículo en Inglés | MEDLINE | ID: mdl-35023056

RESUMEN

BACKGROUND: This study aims to add to the body of evidence linking obesity as an established risk factor for COVID-19 infection and also look at predictors of mortality for COVID-19 in the African-Americans (AA) population. METHODS: A retrospective cohort study of patients with confirmed COVID-19 infection was done in a community hospital in New York City. The cohort was divided into two groups, with the non-obese group having a BMI < 30 kg/m2 and the obese group with a BMI ≥ 30 kg/m2. Clinical predictors of mortality were assessed using multivariate regression analysis. RESULTS: Among the 469 (AA) patients included in the study, 56.3% (n = 264) had a BMI < 30 kg/m2 and 43.7% (n = 205) had a BMI ≥ 30 kg/m2. Most common comorbidities were hypertension (n = 304, 64.8%), diabetes (n = 200, 42.6%), and dyslipidemia (n = 74, 15.8%). Cough, fever/chills, and shortness of breath had a higher percentage of occurring in the obese group (67.8 vs. 55.7%, p = 0.008; 58.0 vs. 46.2%, p = 0.011; 72.2 vs. 59.8%, p = 0.005, respectively). In-hospital mortality (41.5 vs. 25.4%, p < 0.001) and mechanical ventilation rates (34.6 vs. 22.7%, p = 0.004) were also greater for the obese group. Advanced age (p = 0.034), elevated sodium levels (p = 0.04), and elevated levels of AST (0.012) were associated with an increase in likelihood of in-hospital mortality in obese group. CONCLUSIONS: Our results show that having a BMI that is ≥ 30 kg/m2 is a significant risk factor in COVID-19 morbidity and mortality. These results highlight the need for caution when managing obese individuals.


Asunto(s)
COVID-19 , Humanos , Estudios Retrospectivos , Negro o Afroamericano , Obesidad/epidemiología , Factores de Riesgo , Índice de Masa Corporal
4.
BMC Infect Dis ; 22(1): 552, 2022 Jun 17.
Artículo en Inglés | MEDLINE | ID: mdl-35715729

RESUMEN

BACKGROUND AND AIMS: Initial reports on US COVID-19 showed different outcomes in different races. In this study we use a diverse large cohort of hospitalized COVID-19 patients to determine predictors of mortality. METHODS: We analyzed data from hospitalized COVID-19 patients (n = 5852) between March 2020- August 2020 from 8 hospitals across the US. Demographics, comorbidities, symptoms and laboratory data were collected. RESULTS: The cohort contained 3,662 (61.7%) African Americans (AA), 286 (5%) American Latinx (LAT), 1,407 (23.9%), European Americans (EA), and 93 (1.5%) American Asians (AS). Survivors and non-survivors mean ages in years were 58 and 68 for AA, 58 and 77 for EA, 44 and 61 for LAT, and 51 and 63 for AS. Mortality rates for AA, LAT, EA and AS were 14.8, 7.3, 16.3 and 2.2%. Mortality increased among patients with the following characteristics: age, male gender, New York region, cardiac disease, COPD, diabetes mellitus, hypertension, history of cancer, immunosuppression, elevated lymphocytes, CRP, ferritin, D-Dimer, creatinine, troponin, and procalcitonin. Use of mechanical ventilation (p = 0.001), shortness of breath (SOB) (p < 0.01), fatigue (p = 0.04), diarrhea (p = 0.02), and increased AST (p < 0.01), significantly correlated with death in multivariate analysis. Male sex and EA and AA race/ethnicity had higher frequency of death. Diarrhea was among the most common GI symptom amongst AAs (6.8%). When adjusting for comorbidities, significant variables among the demographics of study population were age (over 45 years old), male sex, EA, and patients hospitalized in New York. When adjusting for disease severity, significant variables were age over 65 years old, male sex, EA as well as having SOB, elevated CRP and D-dimer. Glucocorticoid usage was associated with an increased risk of COVID-19 death in our cohort. CONCLUSION: Among this large cohort of hospitalized COVID-19 patients enriched for African Americans, our study findings may reflect the extent of systemic organ involvement by SARS-CoV-2 and subsequent progression to multi-system organ failure. High mortality in AA in comparison with LAT is likely related to high frequency of comorbidities and older age among AA. Glucocorticoids should be used carefully considering the poor outcomes associated with it. Special focus in treating patients with elevated liver enzymes and other inflammatory biomarkers such as CRP, troponin, ferritin, procalcitonin, and D-dimer are required to prevent poor outcomes.


Asunto(s)
COVID-19 , Negro o Afroamericano , Anciano , Biomarcadores , Diarrea , Ferritinas , Hospitalización , Humanos , Masculino , Persona de Mediana Edad , Polipéptido alfa Relacionado con Calcitonina , Estudios Retrospectivos , SARS-CoV-2 , Troponina
5.
Int J Colorectal Dis ; 36(5): 1033-1042, 2021 May.
Artículo en Inglés | MEDLINE | ID: mdl-33415450

RESUMEN

BACKGROUND: Recent data shows a significantly increased risk of diverticulosis among smokers. There is limited data on the association between tobacco smoking and diverticulitis. We aim to determine in-hospital outcomes, length of hospital stay, and resource utilization in a contemporary cohort of diverticulitis patients based on tobacco smoking status. METHODS: A retrospective analysis was performed by utilizing the National Inpatient Sample database (2016 and 2017) and the International Classification of Diseases, Tenth Revision codes to identify the patients with the principal diagnosis of diverticulitis and smoking. We assessed all-cause in-hospital mortality, morbidity, length of hospital stay (LOS), and total costs between propensity-matched groups of tobacco smokers vs. nonsmokers with diverticulitis. RESULTS: We identified 442,273 diverticulitis patients, of whom 96,864 were tobacco smokers, and 345,409 were nonsmokers. Between the two groups, in-hospital mortality was not significant (OR 1.09, 95% CI 0.38-2.6; P = 0.98). Tobacco smokers with diverticulitis have higher odds of lower gastrointestinal bleeding (LGIB) (OR 1.6, 95% CI 1.4-3.8; P = 0.01), peritonitis (OR 1.5, 95% CI 1.9-3.3; P = 0.00), intestinal obstruction (OR 1.6, 95% CI 2.8-7.6; P = 0.00), sepsis (OR 2.1, 95% CI 1.05-4.4; P = 0.03), and shock requiring vasopressor (OR 1.5, 95% CI 1.2-2.2; P = 0.00). In tobacco smokers with complicated diverticulitis, there were higher odds of LGIB (OR 1.4, 95% CI 1.2-1.6; P = 0.00), sepsis (OR 2.1, 95% CI 1.05-4.4; P = 0.03), and colectomy (OR 1.2, 95% CI 1.1-1.2; P = 0.00). In-hospital mortality was not significant in smokers with complicated diverticulitis (OR 1.2, 95% CI 0.78-1.9; P = 0.3). CONCLUSIONS: In this propensity-matched analysis, there was no difference in in-hospital mortality between tobacco smokers vs. nonsmokers with diverticulitis. Smoking has been associated with an increased incidence of complications in diverticulitis with a higher length of hospital stay and resource utilization.


Asunto(s)
Diverticulitis , Pacientes Internos , Diverticulitis/epidemiología , Diverticulitis/etiología , Humanos , Tiempo de Internación , Estudios Retrospectivos , Fumar Tabaco
6.
J Med Virol ; 93(2): 812-819, 2021 02.
Artículo en Inglés | MEDLINE | ID: mdl-32672844

RESUMEN

There is limited data on the clinical presentation and predictors of mortality in the African-American (AA) patients hospitalized with coronavirus disease 2019 (COVID-19) despite the disproportionately higher burden and mortality. The aim of this study is to report on the clinical characteristics and the predictors of mortality in hospitalized AA patients with COVID-19 infection. In this retrospective cohort review, we included all AA patients with confirmed COVID-19 infection admitted to an inner-city teaching community hospital in New York city. Demographics, clinical presentation, baseline co-morbidities, and laboratory data were compared between survivors and non-survivors. The predictors of mortality were assessed using multivariate logistic regression analysis. Of the 408 (median age, 67 years) patients included, 276 (66.65%, median age 63 years) survived while 132 (33.35%, median age 71 years) died. The most common presenting symptoms were cough, myalgia, fever/chills, shortness of breath, and gastrointestinal symptoms (nausea, vomiting, diarrhea, and abdominal pain), with a prevalence of 62.50%, 43.87%, 53.68%, and 27.21%, respectively. Age (odds ratio [OR], 1.06; confidence interval [CI], 1.04-1.08; P < .001), body mass index (OR, 1.07; CI, 1.04-1.11; P < .001), elevated serum ferritin (OR, 1.99; CI, 1.08-3.66; P < .02), C-reactive protein (OR, 2.42; CI, 1.36-4.33; P < .01), and D-dimers (OR, 3.79; CI, 2.21-6.50; P < .001) at the time of presentation were identified as the independent predictors of mortality. Cough, shortness of breath, fever/chills, gastrointestinal symptoms, and myalgia were the predominant presentation among AAs hospitalized with COVID-19 infection. Advanced age, higher body mass index, elevated serum ferritin, C-reactive protein, and D-dimers are independent predictors of mortality among hospitalized AAs with COVID-19 infection.


Asunto(s)
Negro o Afroamericano , COVID-19/diagnóstico , SARS-CoV-2/patogenicidad , Factores de Edad , Anciano , Anciano de 80 o más Años , Biomarcadores/sangre , Índice de Masa Corporal , Proteína C-Reactiva/metabolismo , COVID-19/etnología , COVID-19/mortalidad , COVID-19/patología , Femenino , Ferritinas/sangre , Productos de Degradación de Fibrina-Fibrinógeno/metabolismo , Hospitales Comunitarios , Hospitales de Enseñanza , Humanos , Unidades de Cuidados Intensivos , Modelos Logísticos , Masculino , Persona de Mediana Edad , Ciudad de Nueva York , Oportunidad Relativa , Valor Predictivo de las Pruebas , Estudios Retrospectivos , Índice de Severidad de la Enfermedad
8.
J Investig Med High Impact Case Rep ; 8: 2324709620934674, 2020.
Artículo en Inglés | MEDLINE | ID: mdl-32522037

RESUMEN

Coronavirus disease 2019, also called COVID-19, is a global pandemic resulting in significant morbidity and mortality worldwide. In the United States, influenza infection occurs mainly during winter and several factors influence the burden of the disease, including circulating virus characteristics, vaccine effectiveness that season, and the duration of the season. We present a case series of 3 patients with coinfection of COVID-19 and influenza, with 2 of them treated successfully and discharged home. We reviewed the literature of patients coinfected with both viruses and discussed the characteristics, as well as treatment options.


Asunto(s)
Betacoronavirus/aislamiento & purificación , Infecciones por Coronavirus/diagnóstico por imagen , Gripe Humana/diagnóstico por imagen , Neumonía Viral/diagnóstico por imagen , COVID-19 , Coinfección , Infecciones por Coronavirus/complicaciones , Infecciones por Coronavirus/terapia , Femenino , Humanos , Gripe Humana/complicaciones , Gripe Humana/terapia , Masculino , Persona de Mediana Edad , Pandemias , Neumonía Viral/complicaciones , Neumonía Viral/terapia , SARS-CoV-2 , Estados Unidos
9.
J Med Virol ; 92(10): 2181-2187, 2020 10.
Artículo en Inglés | MEDLINE | ID: mdl-32449972

RESUMEN

Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) is spreading at a rapid pace, and the World Health Organization declared it as pandemic on 11 March 2020. Mycoplasma pneumoniae is an "atypical" bacterial pathogen commonly known to cause respiratory illness in humans. The coinfection from SARS-CoV-2 and mycoplasma pneumonia is rarely reported in the literature to the best of our knowledge. We present a study in which 6 of 350 patients confirmed with COVID-19 were also diagnosed with M. pneumoniae infection. In this study, we described the clinical characteristics of patients with coinfection. Common symptoms at the onset of illness included fever (six [100%] patients); five (83.3%) patients had a cough, shortness of breath, and fatigue. The other symptoms were myalgia (66.6%), gastrointestinal symptoms (33.3%-50%), and altered mental status (16.7%). The laboratory parameters include lymphopenia, elevated erythrocyte sedimentation rate, C-reactive protein, lactate dehydrogenase, interleukin-6, serum ferritin, and D-dimer in all six (100%) patients. The chest X-ray at presentation showed bilateral infiltrates in all the patients (100%). We also described electrocardiogram findings, complications, and treatment during hospitalization in detail. One patient died during the hospital course.


Asunto(s)
COVID-19/fisiopatología , Hipertensión/fisiopatología , Mycoplasma pneumoniae/patogenicidad , Neumonía por Mycoplasma/fisiopatología , SARS-CoV-2/patogenicidad , Adulto , Antibacterianos/uso terapéutico , Antivirales/uso terapéutico , COVID-19/diagnóstico por imagen , COVID-19/mortalidad , COVID-19/terapia , Coinfección , Comorbilidad , Tos/fisiopatología , Disnea/fisiopatología , Fatiga/fisiopatología , Femenino , Fiebre/fisiopatología , Humanos , Hipertensión/diagnóstico por imagen , Hipertensión/mortalidad , Hipertensión/terapia , Linfocitos/patología , Linfocitos/virología , Masculino , Persona de Mediana Edad , Mialgia/fisiopatología , Mycoplasma pneumoniae/efectos de los fármacos , Neumonía por Mycoplasma/diagnóstico por imagen , Neumonía por Mycoplasma/mortalidad , Neumonía por Mycoplasma/terapia , Estudios Retrospectivos , SARS-CoV-2/efectos de los fármacos , Índice de Severidad de la Enfermedad , Análisis de Supervivencia , Tomografía Computarizada por Rayos X , Resultado del Tratamiento
SELECCIÓN DE REFERENCIAS
DETALLE DE LA BÚSQUEDA
...