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1.
AIDS Res Ther ; 17(1): 46, 2020 07 23.
Artículo en Inglés | MEDLINE | ID: mdl-32703286

RESUMEN

BACKGROUND: The COVID-19 has been a severe pandemic all around the world. Nowadays the patient with co-infection of HIV and SARS-CoV-2 was rarely reported. Here we reported a special case with HIV and SARS-CoV-2 co-infection, which showed a prolonged viral shedding duration. CASE PRESENTATION: The patient was infected with HIV 8 years ago through sexual transmission and had the normal CD4+T cell count. She was found SARS-CoV-2 positive using real-time Polymerase Chain Reaction (RT-PCR) during the epidemic. Most importantly, the patient had a prolonged viral shedding duration of SARS-CoV-2 about 28 days. CONCLUSION: The viral shedding duration may be prolonged in people living with HIV. The 14 days isolation strategy might not be long enough for them. The isolation or discharge of these patients needs further confirmation for preventing epidemics.


Asunto(s)
Antirretrovirales/uso terapéutico , Betacoronavirus/aislamiento & purificación , Infecciones por Coronavirus/diagnóstico , Infecciones por VIH/complicaciones , Neumonía Viral/diagnóstico , Esparcimiento de Virus , Alquinos , Benzoxazinas/administración & dosificación , Betacoronavirus/genética , Betacoronavirus/inmunología , Proteína C-Reactiva/análisis , Recuento de Linfocito CD4 , COVID-19 , Escalofríos , Infecciones por Coronavirus/diagnóstico por imagen , Infecciones por Coronavirus/tratamiento farmacológico , Ciclopropanos , Fatiga , Femenino , Fiebre , VIH/crecimiento & desarrollo , Infecciones por VIH/tratamiento farmacológico , Infecciones por VIH/inmunología , Humanos , Huésped Inmunocomprometido , Inmunoglobulina M/sangre , Lamivudine/administración & dosificación , Persona de Mediana Edad , Pandemias , Faringitis , Neumonía Viral/diagnóstico por imagen , Neumonía Viral/tratamiento farmacológico , Reacción en Cadena en Tiempo Real de la Polimerasa , SARS-CoV-2 , Esputo/virología , Factores de Tiempo , Tomografía Computarizada por Rayos X , Esparcimiento de Virus/inmunología , Zidovudina/administración & dosificación
2.
Organ Transplantation ; (6): 489-2022.
Artículo en Zh | WPRIM | ID: wpr-934770

RESUMEN

Objective To explore the predictive values of the initial model for end-stage liver disease (MELD) score, MELD combined with serum sodium (MELD-Na) score and MELD combined with serum lactic acid (MELD-Lac) score for early survival rate after liver transplantation in patients with liver failure. Methods Clinical data of 135 recipients undergoing liver transplantation for liver failure were retrospectively analyzed. All patients were divided into the early survival group (n=110) and early death group (n=25) according to the survival at postoperative 28 d. Clinical data were compared between two groups. The optimal cut-off values of MELD, MELD-Na and MELD-Lac scores for predicting early survival rate after liver transplantation in patients with liver failure were determined by the receiver operating characteristic (ROC) curve. The predictive values of different scores for early survival rate after liver transplantation in patients with liver failure were evaluated. Results Significant differences were observed in the initial MELD, MELD-Na and MELD-Lac scores after liver transplantation between two groups (all P < 0.05). For the initial MELD, MELD-Na and MELD-Lac scores in predicting early survival rate after liver transplantation in patients with liver failure, the AUC were 0.653 [95% confidence interval (CI) 0.515-0.792], 0.648 (95%CI 0.514-0.781) and 0.809 (95%CI 0.718-0.900), the optimal cut-off values were 18.09, 18.09 and 19.97, Youden's indexes were 0.398, 0.380 and 0.525, the sensitivity was 0.680, 0.680 and 0.840, and the specificity was 0.720, 0.700 and 0.690, respectively. The AUC of MELD-Lac score was higher than those of MELD and MELD-Na scores, and the differences were statistically significant (both P < 0.05). Conclusions Compared with the initial MELD and MELD-Na scores after liver transplantation, the initial MELD-Lac score is a more reliable index for predicting early survival rate after liver transplantation in patients with liver failure.

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