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1.
Clin Lab ; 69(5)2023 May 01.
Artículo en Inglés | MEDLINE | ID: mdl-37145069

RESUMEN

BACKGROUND: Mucor infection cannot be ignored in patients with pulmonary shadowing with cavitation. This paper reports a case of mucormycosis during the COVID-19 pandemic in Hubei Province, China. METHODS: An anesthesiology doctor was initially diagnosed as COVID-19 due to changes in lung imaging. After anti-infective, anti-viral, and symptomatic supportive treatment, some of symptoms were relieved. But some symptoms -'chest pain and discomfort', accompanied by chest sulking and short breath after activities, did not ease. At last, Lichtheimia ramose was detected later by metagenomic next generation sequencing (mNGS) in the bronchoalveolar lavage fluid (BALF). RESULTS: After adjusting amphotericin B for anti-infective treatment, the patient's infection lesions were shrunk and the symptoms were significantly relieved. CONCLUSIONS: The diagnosis of invasive fungal infections is very difficult, and mNGS can make an accurate pathogenic diagnosis of invasive fungal diseases for the clinic and provide a basis for clinical treatment.


Asunto(s)
COVID-19 , Infecciones Fúngicas Invasoras , Mucormicosis , Neumonía , Humanos , Mucormicosis/diagnóstico , Mucormicosis/epidemiología , Pandemias , China/epidemiología , Antivirales , Líquido del Lavado Bronquioalveolar , Secuenciación de Nucleótidos de Alto Rendimiento
2.
Ther Adv Respir Dis ; 16: 17534666221075499, 2022.
Artículo en Inglés | MEDLINE | ID: mdl-35156477

RESUMEN

BACKGROUND: The Chinese government has promoted the 'tiered medical services' policy in which diseases are classified by severity, mode of onset and difficulty of treatment since 2015 to optimize medical resources. We evaluated the diagnosis and treatment of acute exacerbation (AE) of chronic obstructive pulmonary disease (AECOPD) under the tiered system. METHODS: We conducted a cross-sectional study. COPD characteristics and treatments were compared among hospitals in different tiers. Associations were examined by univariate and multivariable logistic regression analysis. In addition, multivariate logistic regression was performed to identify the possible influencing factors of antibiotics, glucocorticoids and anticoagulant usages. RESULTS: Eligible COPD patients (n = 432) were consecutively recruited from eight hospitals in different tiers in China. Patients in the countryside preferred the community hospitals, whereas patients in cities preferred second-tier and teaching hospitals when they suffer from AECOPD. It indicates most COPD patients are likely to treat their disease locally. The severity of COPD AE increased with tiers of hospitals (p < 0.001). However, our results clearly show that most community hospitals can only deal with mild exacerbation of COPD. Approximately 90% of AE patients received antibiotics. We speculated that antibiotics abuse might exist in the three tiers of hospitals. Multivariate analysis demonstrated that long-term antibiotics usage (⩾14 days) was associated with moderate exacerbation [odds ratio (OR): 5.295, 95% confidence intervals (CI) 2.248-12.473, p < 0.001], radiographic progression (OR: 2.176, 95% CI: 1.047-4.522, p = 0.037), positive sputum etiology (OR: 3.073, 95% CI: 1.477-6.394, p = 0.003) and increased white blood cells (OR: 2.470, 95% CI: 1.190-5.126, p = 0.015). The proportion of glucocorticoids increased with the hospital hierarchy (18.6% versus 45.6% versus 69.2%, p < 0.001). The proportions of severe cases in the second-tier hospitals were 26.9%; however, non-invasive positive pressure ventilation (NPPV) rate was only 14.7%. Anticoagulant is not commonly used in AECOPD, and the community hospitals had the lowest proportion of anticoagulation regimen (1.7% versus 14.3% versus 20.5%, p = 0.002). CONCLUSIONS: The 'tiered medical services' policy in AECOPD management has been unsatisfactory in the past years. Irrational treatment strategies in different hospitals were still found when comparing with international guideline. Further reform of the policy is still needed to optimize the management of AECOPD in China.


Asunto(s)
Enfermedad Pulmonar Obstructiva Crónica , China , Estudios Transversales , Progresión de la Enfermedad , Glucocorticoides , Humanos , Enfermedad Pulmonar Obstructiva Crónica/diagnóstico , Enfermedad Pulmonar Obstructiva Crónica/tratamiento farmacológico , Esputo
3.
J Thorac Dis ; 13(9): 5383-5394, 2021 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-34659805

RESUMEN

BACKGROUND: Patients with consistent lung pure ground-glass nodules (pGGNs) have a high incidence of lung adenocarcinoma that can be classified as adenocarcinoma in situ (AIS), minimally invasive adenocarcinoma (MIA), or invasive adenocarcinoma (IAC). Regular follow-up is recommended for AIS and MIA, while surgical resection should be considered for IAC. This study sought to develop a multi-parameter prediction model to increase the diagnostic accuracy in discriminating between IAC and AIS or MIA. METHODS: The training data set comprised consecutive patients with lung pGGNs who underwent resection from January to December 2017 at the Zhongshan Hospital. Of the 370 resected pGGNs, 344 were pathologically confirmed to be AIS, MIA, or IAC and were included in the study. The 26 benign pGGNs were excluded. We compared differences in the clinical features (e.g., age and gender), the content of serum tumor biomarkers, the computed tomography (CT) parameters (e.g., nodule size and the maximal CT value), and the morphologic characteristics of nodules (e.g., lobulation, spiculation, pleura indentation, vacuole sign, and normal vessel penetration or abnormal vessel) between the pathological subtypes of AIS, MIA, and IAC. An abnormal vessel was defined as "vessel curve" or "vessel enlargement". Statistical analyses were performed using the chi-square test, analysis of variance (ANOVA), and rank test. The IAC prediction model was constructed via a multivariate logistical regression. Our prediction model for lung pGGNs was further validated in a data set comprising consecutive patients from multiple medical centers in China from July to December 2018. In total, 345 resected pGGNs were pathologically diagnosed as lung adenocarcinoma in the validation data set. RESULTS: In the training data set, patients with pGGNs ≥10 mm in size had a high incidence (74.5%) of IAC. The maximal CT value of IAC [-416.1±121.2 Hounsfield unit (HU)] was much higher than that of MIA (-507.7±138.0 HU) and AIS (-602.6±93.3 HU) (P<0.001). IAC was more common in pGGNs that displayed any of the following CT manifestations: lobulation, spiculation, pleura indentation, vacuole sign, and vessel abnormality. The IAC prediction model was constructed using the parameters that were assessed as risk factors (i.e., the nodule size, maximal CT value, and CT signs). The receiver operating characteristic (ROC) analysis showed that the area under the curve (AUC) of this model for diagnosing IAC was 0.910, which was higher than that of the AUC for nodule size alone (0.891) or the AUC for the maximal CT value alone (0.807) (P<0.05, respectively). A multicenter validation data set was used to validate the performance of our prediction model in diagnosing IAC, and our model was found to have an AUC of 0.883, which was higher than that of the AUC of 0.827 for the module size alone model or the AUC of 0.791 for the maximal CT value alone model (P<0.05, respectively). CONCLUSIONS: Our multi-parameter prediction model was more accurate at diagnosing IAC than models that used only nodule size or the maximal CT value alone. Thus, it is an efficient tool for identifying the IAC of malignant pGGNs and deciding if surgery is needed.

4.
Clin Respir J ; 14(11): 1067-1075, 2020 Nov.
Artículo en Inglés | MEDLINE | ID: mdl-32750201

RESUMEN

INTRODUCTION: Coronavirus Disease 2019 (COVID-19) has spread worldwide, and it has reached to more than 14.5 million cases. Although Hubei province is the epicenter of China, little is known about epidemiological and clinical features of COVID-19 in other areas in Hubei province around Wuhan. In addition, the virological data, particularly the factors associated with viral shedding of COVID-19 has not been well described. OBJECTIVE: To describe the epidemiological and clinical features of patients with COVID-19 in Tianmen city, and identify risk factors associated with prolonged viral shedding of COVID-19. METHODS: Inpatients with COVID-19 admitted before February 9, 2020 were included. Characteristics were compared between patients with early and late viral RNA shedding. Multivariate cox regression model was used to investigate variables associated with prolonged viral shedding. RESULTS: One hundred and eighty-three patients were included. About 8.2% patients were categorized as critical degree of severity. All patients received antiviral therapy, with arbidol and interferon being the commonest. About 38.3% and 16.9% patients were treated with corticosteroid and immunoglobulin, respectively. Time from onset to admission (HR = 0.829, P < 0.001), and administration of corticosteroid (HR = 0.496, P = 0.002), arbidol (HR = 2.605, P = 0.008) and oseltamivir (HR = 0.416, P < 0.001) were independently associated with duration of viral shedding. CONCLUSION: Symptoms of patients from Tianmen are relatively mild. Treatment should be started as early as possible, but corticosteroid and oseltamivir should be initiated with caution. In addition, clinical trials on arbidol should be conducted to demonstrate its effectiveness.


Asunto(s)
Corticoesteroides/uso terapéutico , Antivirales/uso terapéutico , Infecciones por Coronavirus/tratamiento farmacológico , Hospitalización/estadística & datos numéricos , Oseltamivir/uso terapéutico , Neumonía Viral/tratamiento farmacológico , Esparcimiento de Virus/efectos de los fármacos , Adulto , Betacoronavirus , COVID-19 , China/epidemiología , Infecciones por Coronavirus/epidemiología , Femenino , Humanos , Inmunoglobulinas/uso terapéutico , Indoles/uso terapéutico , Interferones/uso terapéutico , Masculino , Persona de Mediana Edad , Pandemias , Neumonía Viral/epidemiología , Estudios Retrospectivos , Factores de Riesgo , SARS-CoV-2 , Factores de Tiempo
5.
Xi Bao Yu Fen Zi Mian Yi Xue Za Zhi ; 26(12): 1203-5, 1209, 2010 Dec.
Artículo en Zh | MEDLINE | ID: mdl-21138684

RESUMEN

AIM: To investigate the expression of STAT3, WWOX and c-myc in non small cell lung cancer(NSCLC) and their clinical significance, and study their relation ship. METHODS: Forty resected tissue samples from patients with NSCLC and twenty normal lung tissues were subjected to immunohistochemical staining(SP) for STAT3, WWOX and c-myc. RESULTS: (1)The positive expression rate of STAT3 and c-myc in NSCLC were 92.5% and 90% respectively, obviously higher than normal lung tissues (20% and 15%, P<0.01); The positive expression rate of WWOX was 30%, apparently lower than normal lung tissues(75%, P<0.01). (2) The expression levels of STAT3 and c-myc were related to pathologic types in NSCLC, which in adenocarcinomas were higher than squmous cell carcinomas (P<0.01), which were regardless with tumor size, histodifferentiation level, clinical stage and lymphatic metastasis; The expression of WWOX was ralated to whether lymph node metastasis in NSCLC(P<0.01).(3) There was a negativie correlation between the expressions of STAT3 and WWOX (r=-0.443, P<0.01); But no relationship was found between STAT3 and c-myc overexpression(r=-0.084) and between WWOX and c-myc overexpression(r=0.115). CONCLUSION: STAT3 and c-myc were overexpressed in human NSCLC. It indicated these proteins may make an important role in occurrence and development of lung cancer.The expressions of WWOX in human NSCLC was lower, which non expression was may related to the invision and metastasis of tumor. In the tumorigenesis of NSCLC, there is no relationship between expression of STAT3 and c-myc, They played independent roles in oncogenesis of NSCLC. There was a negativie correlation between the expressions of STAT3 and WWOX, but no relationship was found between WWOX and c-myc.


Asunto(s)
Carcinoma de Pulmón de Células no Pequeñas/patología , Regulación Neoplásica de la Expresión Génica , Neoplasias Pulmonares/patología , Oxidorreductasas/metabolismo , Proteínas Proto-Oncogénicas c-myc/metabolismo , Factor de Transcripción STAT3/metabolismo , Proteínas Supresoras de Tumor/metabolismo , Adulto , Anciano , Animales , Carcinoma de Pulmón de Células no Pequeñas/metabolismo , Femenino , Humanos , Neoplasias Pulmonares/metabolismo , Masculino , Persona de Mediana Edad , Metástasis de la Neoplasia , Estadificación de Neoplasias , Oxidorreductasa que Contiene Dominios WW
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