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1.
Virulence ; 15(1): 2350775, 2024 12.
Artículo en Inglés | MEDLINE | ID: mdl-38736041

RESUMEN

OBJECTIVES: The translocation of intestinal flora has been linked to the colonization of diverse and heavy lower respiratory flora in patients with septic ARDS, and is considered a critical prognostic factor for patients. METHODS: On the first and third days of ICU admission, BALF, throat swab, and anal swab were collected, resulting in a total of 288 samples. These samples were analyzed using 16S rRNA analysis and the traceability analysis of new generation technology. RESULTS: On the first day, among the top five microbiota species in abundance, four species were found to be identical in BALF and throat samples. Similarly, on the third day, three microbiota species were found to be identical in abundance in both BALF and throat samples. On the first day, 85.16% of microorganisms originated from the throat, 5.79% from the intestines, and 9.05% were unknown. On the third day, 83.52% of microorganisms came from the throat, 4.67% from the intestines, and 11.81% were unknown. Additionally, when regrouping the 46 patients, the results revealed a significant predominance of throat microorganisms in BALF on both the first and third day. Furthermore, as the disease progressed, the proportion of intestinal flora in BALF increased in patients with enterogenic ARDS. CONCLUSIONS: In patients with septic ARDS, the main source of lung microbiota is primarily from the throat. Furthermore, the dynamic trend of the microbiota on the first and third day is essentially consistent.It is important to note that the origin of the intestinal flora does not exclude the possibility of its origin from the throat.


Asunto(s)
Bacterias , Líquido del Lavado Bronquioalveolar , Microbiota , Faringe , ARN Ribosómico 16S , Síndrome de Dificultad Respiratoria , Sepsis , Humanos , Masculino , Femenino , Síndrome de Dificultad Respiratoria/microbiología , Persona de Mediana Edad , Faringe/microbiología , ARN Ribosómico 16S/genética , Líquido del Lavado Bronquioalveolar/microbiología , Anciano , Sepsis/microbiología , Bacterias/clasificación , Bacterias/aislamiento & purificación , Bacterias/genética , Alveolos Pulmonares/microbiología , Adulto , Unidades de Cuidados Intensivos , Microbioma Gastrointestinal
2.
Sci Rep ; 7: 43257, 2017 02 22.
Artículo en Inglés | MEDLINE | ID: mdl-28225064

RESUMEN

This study aimed to investigate the potential of intravoxel incoherent motion (IVIM) diffusion-weighted MR imaging in assessing solitary pulmonary lesions (SPLs). Sixty-two patients with pathologically confirmed SPLs, including 51 and 11 cases of malignant and benign lesions, respectively, were assessed. Diffusion weighted imaging (DWI) with 13 b values was used to derive apparent diffusion coefficient (ADC) and IVIM parameters, including true diffusion coefficient (D), pseudo-diffusion coefficient (D*), and perfusion fraction (f). Our results showed that, there was an excellent inter-observer agreement on the measurements of D and ADC between observers (inter-class correlation coefficient, ICC = 0.902 and 0.884, respectively). Meanwhile, f and D* showed good and substantial reproducibility (ICC = 0.787 and 0.623, respectively). D and ADC of malignant lesions were significantly lower than those of benign lesions (both P ≤ 0.001), while similar values were obtained in both groups for D* and f (both P > 0.05). In receiver operating characteristic (ROC) analysis, D showed the highest area under curve (AUC) for distinguishing malignant from benign lesions, followed by ADC. Accompanying signs of SPLs have specific features on IVIM maps. In conclusion, IVIM provides functional information in characterizing SPLs which is helpful to differential diagnosis. D and ADC have a significantly higher diagnostic value than f and D*.


Asunto(s)
Procesamiento de Imagen Asistido por Computador/métodos , Enfermedades Pulmonares/diagnóstico por imagen , Imagen por Resonancia Magnética/métodos , Adulto , Anciano , Anciano de 80 o más Años , Femenino , Humanos , Masculino , Persona de Mediana Edad , Variaciones Dependientes del Observador , Curva ROC , Reproducibilidad de los Resultados
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