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1.
Vaccines (Basel) ; 10(2)2022 Feb 18.
Artículo en Inglés | MEDLINE | ID: covidwho-1708201

RESUMEN

(1) Background: Although there are extensive data on admission co-variates and outcomes of persons with coronavirus infectious disease-2019 (COVID-19) at diverse geographic sites, there are few, if any, subject-level comparisons between sites in regions and countries. We investigated differences in hospital admission co-variates and outcomes of hospitalized people with COVID-19 between Wuhan City, China and the New York City region, USA. (2) Methods: We retrospectively analyzed clinical data on 1859 hospitalized subjects with COVID-19 in Wuhan City, China, from 20 January to 4 April 2020. Data on 5700 hospitalized subjects with COVID-19 in the New York City region, USA, from 1 March to 4 April 2020 were extracted from an article by Richardson et al. Hospital admission co-variates (epidemiological, demographic, and laboratory co-variates) and outcomes (rate of intensive care unit [ICU] admission, invasive mechanical ventilation [IMV], major organ failure and death, and length of hospital stay) were compared between the cohorts. (3) Results: Wuhan subjects were younger, more likely female, less likely to have co-morbidities and fever, more likely to have a blood lymphocyte concentration > 1 × 109/L, and less likely to have abnormal liver and cardiac function tests compared with New York subjects. There were outcomes data on all Wuhan subjects and 2634 New York subjects. Wuhan subjects had higher blood nadir median lymphocyte concentrations and longer hospitalizations, and were less likely to receive IMV, ICU hospitalization, and interventions for kidney failure. Amongst subjects not receiving IMV, those in Wuhan were less likely to die compared with New York subjects. In contrast, risk of death was similar in subjects receiving IMV at both sites. (4) Conclusions: We found different hospital admission co-variates and outcomes between hospitalized persons with COVID-19 between Wuhan City and the New York region, which should be useful developing a comprehensive global understanding of the SARS-CoV-2 pandemic and COVID-19.

2.
Leukemia ; 34(9): 2384-2391, 2020 09.
Artículo en Inglés | MEDLINE | ID: covidwho-655388

RESUMEN

The impact of cancer on outcome of persons with coronavirus disease 2019 (COVID-19) after infection with acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is controversial. We studied 1859 subjects with COVID-19 from seven centers in Wuhan, China, 65 of whom had cancer. We found having cancer was an independent risk factor for in-hospital death from COVID-19 in persons <65 years (hazard ratio [HR] = 2.45, 95% confidence interval [CI], 1.04, 5.76; P = 0.041) but not in those ≥65 years (HR = 1.12 [0.56, 2.24]; P = 0.740). It was also more common in those not in complete remission. Risks of in-hospital death were similar in subjects with solid cancers and those with hematological cancers. These data may help predict outcomes of persons with cancer and COVID-19.


Asunto(s)
Infecciones por Coronavirus/mortalidad , Neoplasias/complicaciones , Neumonía Viral/mortalidad , Adulto , Factores de Edad , Anciano , Betacoronavirus , COVID-19 , China , Infecciones por Coronavirus/complicaciones , Femenino , Mortalidad Hospitalaria , Humanos , Masculino , Persona de Mediana Edad , Neoplasias/mortalidad , Pandemias , Neumonía Viral/complicaciones , Inducción de Remisión , Factores de Riesgo , SARS-CoV-2
3.
Chin J Traumatol ; 23(4): 211-215, 2020 Aug.
Artículo en Inglés | MEDLINE | ID: covidwho-612746

RESUMEN

Since December 2019, COVID-19, an acute infectious disease, has gradually become a global threat. We report a case of thoracolumbar fractures (T12 and L1) and incomplete lower limb paralysis in a patient with COVID-19. After a series of conservative treatment which did not work at all, posterior open reduction and pedicle screw internal fixation of the thoracolumbar fracture were performed in Wuhan Union Hospital. Three weeks later, the patient could stand up and the pneumonia is almost cured. We successfully performed a surgery in a COVID-19 patient, and to our knowledge it is the first operation for a COVID-19 patient ever reported.


Asunto(s)
Betacoronavirus , Infecciones por Coronavirus/complicaciones , Vértebras Lumbares/lesiones , Parálisis/cirugía , Neumonía Viral/complicaciones , Fracturas de la Columna Vertebral/cirugía , Vértebras Torácicas/lesiones , COVID-19 , Fijación Interna de Fracturas , Humanos , Vértebras Lumbares/cirugía , Masculino , Persona de Mediana Edad , Pandemias , Tornillos Pediculares , SARS-CoV-2 , Vértebras Torácicas/cirugía
4.
Leukemia ; 34(8): 2173-2183, 2020 08.
Artículo en Inglés | MEDLINE | ID: covidwho-601049

RESUMEN

We studied 1859 subjects with confirmed COVID-19 from seven centers in Wuhan 1651 of whom recovered and 208 died. We interrogated diverse covariates for correlations with risk of death from COVID-19. In multi-variable Cox regression analyses increased hazards of in-hospital death were associated with several admission covariates: (1) older age (HR = 1.04; 95% Confidence Interval [CI], 1.03, 1.06 per year increase; P < 0.001); (2) smoking (HR = 1.84 [1.17, 2.92]; P = 0.009); (3) admission temperature per °C increase (HR = 1.32 [1.07, 1.64]; P = 0.009); (4) Log10 neutrophil-to-lymphocyte ratio (NLR; HR = 3.30 [2.10, 5.19]; P < 0.001); (5) platelets per 10 E + 9/L decrease (HR = 0.996 [0.994, 0.998]; P = 0.001); (6) activated partial thromboplastin (aPTT) per second increase (HR = 1.04 [1.02, 1.05]; P < 0.001); (7) Log10 D-dimer per mg/l increase (HR = 3.00 [2.17, 4.16]; P < 0.001); and (8) Log10 serum creatinine per µmol/L increase (HR = 4.55 [2.72, 7.62]; P < 0.001). In piecewise linear regression analyses Log10NLR the interval from ≥0.4 to ≤1.0 was significantly associated with an increased risk of death. Our data identify covariates associated with risk of in hospital death in persons with COVID-19.


Asunto(s)
Betacoronavirus/aislamiento & purificación , Biomarcadores/sangre , Infecciones por Coronavirus/mortalidad , Linfocitos/patología , Mortalidad/tendencias , Neutrófilos/patología , Neumonía Viral/mortalidad , Índice de Severidad de la Enfermedad , Adulto , Anciano , Anciano de 80 o más Años , COVID-19 , Infecciones por Coronavirus/sangre , Infecciones por Coronavirus/patología , Femenino , Estudios de Seguimiento , Humanos , Masculino , Persona de Mediana Edad , Pandemias , Neumonía Viral/sangre , Neumonía Viral/patología , Pronóstico , Curva ROC , Factores de Riesgo , SARS-CoV-2 , Tasa de Supervivencia
5.
Leukemia ; 34(8): 2163-2172, 2020 08.
Artículo en Inglés | MEDLINE | ID: covidwho-595636

RESUMEN

We studied admission and dynamic demographic, hematological and biochemical co-variates in 1449 hospitalized subjects with coronavirus infectious disease-2019 (COVID-19) in five hospitals in Wuhan, Hubei province, China. We identified two admission co-variates: age (Odds Ratio [OR] = 1.18, 95% Confidence Interval [CI] [1.02, 1.36]; P = 0.026) and baseline D-dimer (OR = 3.18 [1.48, 6.82]; P = 0.003) correlated with an increased risk of death in persons with COVID-19. We also found dynamic changes in four co-variates, Δ fibrinogen (OR = 6.45 [1.31, 31.69]; P = 0.022), Δ platelets (OR = 0.95 [0.90-0.99]; P = 0.029), Δ C-reactive protein (CRP) (OR = 1.09 [1.01, 1.18]; P = 0.037), and Δ lactate dehydrogenase (LDH) (OR = 1.03 [1.01, 1.06]; P = 0.007) correlated with an increased risk of death. The potential risk factors of old age, high baseline D-dimer, and dynamic co-variates of fibrinogen, platelets, CRP, and LDH could help clinicians to identify and treat subjects with poor prognosis.


Asunto(s)
Betacoronavirus/aislamiento & purificación , Biomarcadores/sangre , Infecciones por Coronavirus/mortalidad , Enfermedades Hematológicas/sangre , Mortalidad/tendencias , Neumonía Viral/mortalidad , Adulto , Anciano , Anciano de 80 o más Años , Proteína C-Reactiva/análisis , COVID-19 , Infecciones por Coronavirus/sangre , Infecciones por Coronavirus/complicaciones , Infecciones por Coronavirus/diagnóstico , Femenino , Productos de Degradación de Fibrina-Fibrinógeno/análisis , Estudios de Seguimiento , Enfermedades Hematológicas/diagnóstico , Enfermedades Hematológicas/virología , Humanos , L-Lactato Deshidrogenasa/sangre , Recuento de Linfocitos , Linfocitos/metabolismo , Masculino , Persona de Mediana Edad , Pandemias , Neumonía Viral/sangre , Neumonía Viral/complicaciones , Neumonía Viral/diagnóstico , Pronóstico , SARS-CoV-2 , Índice de Severidad de la Enfermedad , Tasa de Supervivencia
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