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1.
Pak J Med Sci ; 38(4Part-II): 1038-1042, 2022.
Artículo en Inglés | MEDLINE | ID: mdl-35634620

RESUMEN

Objective: To investigate the effects of high-dose recombinant human growth hormone(rhGH) treatment on insulin-like growth factor-1 (IGF-1) and insulin-like growth factor binding protein-3 (IGFBP-3) levels in patients with idiopathic dwarfism. Methods: This study retrospectively investigated records of idiopathic dwarfism patients treated at Anhui Children's Hospital or the Affiliated Hospital of Xuzhou Medical University between May 2019 and October 2020. The study identified 76 patients, which were divided based on rhGH treatment dosage into high- and low-dose groups. Results: The high-dose group showed a total efficacy of 95.3%, which was significantly higher than the 79.41% observed in the low-dose group (P<0.05). Moreover, height, weight, IGF-1 levels, and IGFBP-3 levels were all significantly elevated in the high-dose group compared to the low-dose group (P<0.05). No significant difference in adverse reaction incidence was observed between high- (9.5%) and low-dose (8.8%) groups (P>0.05). Conclusions: Higher doses of rhGH can provide improved curative effects in patients with idiopathic short stature, likely via elevated levels of IGF-1 and IGFBP-3.

2.
Int J Infect Dis ; 143: 107001, 2024 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-38461931

RESUMEN

OBJECTIVE: To investigate the spatial heterogeneity of nontuberculous mycobacterial pulmonary disease (NTM-PD) in Shanghai. METHODS: A population-based retrospective study was conducted using presumptive pulmonary tuberculosis surveillance data of Shanghai between 2010 and 2019. The study described the spatial distribution of NTM-PD notification rates, employing hierarchical Bayesian mapping for high-risk areas and the Getis-Ord Gi* statistic to identify hot spots and explore associated factors. RESULTS: Of 1652 NTM-PD cases, the most common species was Mycobacterium kansasii complex (MKC) (41.9%), followed by Mycobacterium avium complex (MAC) (27.1%) and Mycobacterium abscessus complex (MABC) (16.2%). MKC-PD patients were generally younger males with a higher incidence of pulmonary cavities, while MAC-PD patients were more often farmers or had a history of tuberculosis treatment. MKC-PD hot spots were primarily located in the areas alongside the Huangpu River, while MAC-PD hot spots were mainly in the western agricultural areas. Patients with MKC-PD and MAC-PD exhibited a higher risk of spatial clustering compared to those with MABC-PD. CONCLUSIONS: Different types of NTM-PD exhibit distinct patterns of spatial clustering and are associated with various factors. These findings underscore the importance of environmental and host factors in the epidemic of NTM-PD.


Asunto(s)
Infecciones por Mycobacterium no Tuberculosas , Humanos , Masculino , Infecciones por Mycobacterium no Tuberculosas/epidemiología , Infecciones por Mycobacterium no Tuberculosas/microbiología , China/epidemiología , Femenino , Estudios Retrospectivos , Persona de Mediana Edad , Anciano , Adulto , Mycobacterium kansasii/aislamiento & purificación , Micobacterias no Tuberculosas/aislamiento & purificación , Teorema de Bayes , Incidencia , Análisis Espacial , Factores de Riesgo , Adulto Joven , Complejo Mycobacterium avium/aislamiento & purificación , Tuberculosis Pulmonar/epidemiología , Tuberculosis Pulmonar/microbiología , Mycobacterium abscessus/aislamiento & purificación
3.
Emerg Microbes Infect ; 13(1): 2302837, 2024 Dec.
Artículo en Inglés | MEDLINE | ID: mdl-38205528

RESUMEN

Fluoroquinolones (FQ) are essential for the treatment of multidrug-resistant tuberculosis (MDR-TB). The FQ resistance (FQ-R) rate in MDR-TB in China and its risk factors remain poorly understood. We conducted a retrospective, population-based genomic epidemiology study of MDR-TB patients in Shanghai, China, from 2009 to 2018. A genomic cluster was defined as strains with genetic distances ≤ 12 single nucleotide polymorphisms. The transmitted FQ-R was defined as the same FQ resistance-conferring mutations shared by ≥ 2 strains in a genomic cluster. We used multivariable logistic regression analysis to identify the risk factors for drug resistance. Among the total 850 MDR-TB patients included in the study, 72.8% (619/850) were male, the median age was 39 (interquartile range 28, 55) years, 52.7% (448/850) were migrants, and 34.5% (293/850) were previously treated patients. Most of the MDR-TB strains belong to the Beijing lineage (91.7%, 779/850). Overall, the genotypic resistance rate of FQ was 34.7% (295/850), and 47.1% (139/295) FQ-R patients were in genomic clusters, of which 98 (33.2%, 98/295) were presumed as transmitted FQ-R. Patients with treatment-naïve (aOR = 1.84; 95% CI: 1.09, 3.16), diagnosed in a district-level hospital (aOR = 2.69; 95% CI: 1.56, 4.75), and streptomycin resistance (aOR = 3.69; 95% CI: 1.65, 9.42) were significantly associated with the transmission of FQ-R. In summary, the prevalence of FQ-R among MDR-TB patients was high in Shanghai, and at least one-third were transmitted. Enforced interventions including surveillance of FQ drug susceptibility testing and screening among MDR-TB before initiation of treatment were urgently needed.


Asunto(s)
Mycobacterium tuberculosis , Tuberculosis Resistente a Múltiples Medicamentos , Humanos , Masculino , Femenino , Fluoroquinolonas/farmacología , Fluoroquinolonas/uso terapéutico , Antituberculosos/farmacología , Antituberculosos/uso terapéutico , Estudios Retrospectivos , Mycobacterium tuberculosis/genética , Pruebas de Sensibilidad Microbiana , China/epidemiología , Tuberculosis Resistente a Múltiples Medicamentos/tratamiento farmacológico , Tuberculosis Resistente a Múltiples Medicamentos/epidemiología , Tuberculosis Resistente a Múltiples Medicamentos/diagnóstico , Genómica , Farmacorresistencia Bacteriana Múltiple/genética
4.
Front Public Health ; 11: 1155146, 2023.
Artículo en Inglés | MEDLINE | ID: mdl-37325311

RESUMEN

Background: Internal migrants pose a critical threat to eliminating Tuberculosis (TB) in many high-burden countries. Understanding the influential pattern of the internal migrant population in the incidence of tuberculosis is crucial for controlling and preventing the disease. We used epidemiological and spatial data to analyze the spatial distribution of tuberculosis and identify potential risk factors for spatial heterogeneity. Methods: We conducted a population-based, retrospective study and identified all incident bacterially-positive TB cases between January 1st, 2009, and December 31st, 2016, in Shanghai, China. We used Getis-Ord Gi* statistics and spatial relative risk methods to explore spatial heterogeneity and identify regions with spatial clusters of TB cases, and then used logistic regression method to estimate individual-level risk factors for notified migrant TB and spatial clusters. A hierarchical Bayesian spatial model was used to identify the attributable location-specific factors. Results: Overall, 27,383 bacterially-positive tuberculosis patients were notified for analysis, with 42.54% (11,649) of them being migrants. The age-adjusted notification rate of TB among migrants was much higher than among residents. Migrants (aOR, 1.85; 95%CI, 1.65-2.08) and active screening (aOR, 3.13; 95%CI, 2.60-3.77) contributed significantly to the formation of TB high-spatial clusters. With the hierarchical Bayesian modeling, the presence of industrial parks (RR, 1.420; 95%CI, 1.023-1.974) and migrants (RR, 1.121; 95%CI, 1.007-1.247) were the risk factors for increased TB disease at the county level. Conclusion: We identified a significant spatial heterogeneity of tuberculosis in Shanghai, one of the typical megacities with massive migration. Internal migrants play an essential role in the disease burden and the spatial heterogeneity of TB in urban settings. Optimized disease control and prevention strategies, including targeted interventions based on the current epidemiological heterogeneity, warrant further evaluation to fuel the TB eradication process in urban China.


Asunto(s)
Tuberculosis , Humanos , Estudios Retrospectivos , Teorema de Bayes , China/epidemiología , Tuberculosis/epidemiología , Factores de Riesgo
5.
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