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1.
Cureus ; 15(5): e39743, 2023 May.
Article in English | MEDLINE | ID: mdl-37398734

ABSTRACT

INTRODUCTION: Patients with rheumatoid arthritis (RA) are at increased risk of developing tuberculosis, and even more so if they receive biological agents. In Mexico, the prevalence of latent tuberculosis infection (LTBI) in RA diagnosed by interferon-gamma release assay (IGRA) is largely unknown. The objective was to determine LTBI prevalence and the associated risk factors in rheumatoid arthritis patients. METHODS: A cross-sectional study was performed comprising 82 patients with RA who attended the rheumatology service at a second-level hospital. Demographic characteristics, comorbidity, Bacillus Calmette-Guerin (BCG) vaccination and smoking history, type of treatment, disease activity and functional capacity were investigated. The Disease Activity Score 28 and the Health Assessment Questionnaire-Disability Index were applied for the estimate of RA activity and functional capacity. Further information was compiled from the electronic medical records and personal interviews. LTBI was determined by QuantiFERON TB Gold Plus (QIAGEN, Germantown, USA). RESULTS: Prevalence of LTBI was 14% (95% confidence interval (CI): 8.6% to 23.9%). Factors associated with LTBI were history of smoking (odds ratio (OR) = 6.63 95% CI 1.01 to 43.3) and disability score (OR = 7.19 95%CI 1.41 to 36.6). CONCLUSIONS: The prevalence of LTBI in Mexican patients with RA was 14%. Our results suggest prevention of smoking and functional incapacity could reduce the risk of LTBI. Further research could endorse our results.

2.
Rev Peru Med Exp Salud Publica ; 37(3): 423-430, 2020 Dec 02.
Article in Spanish, English | MEDLINE | ID: mdl-33295543

ABSTRACT

OBJECTIVES: To determine if the place of residence and the level of social marginalization are associated with prostate cancer survival. MATERIALS AND METHODS: All patients diagnosed with prostate cancer (PC) in the period from 2013 to 2017 in a tertiary healthcare hospital in Veracruz, Mexico were included. Patients resided in rural and urban areas. Variables were collected according to clinical-epidemiological and histopathological characteristics. The Kaplan Meier method and the Log Rank test were used to measure survival. Prognostic factors were determined by calculating the adjusted hazard ratio (HRa) in a multivariate analysis using the Cox proportional risk method. RESULTS: A total of 186 PC cases were analyzed. Overall, after 5 years, 48.3% of the patients survived. Men living in urban areas had a higher probability of survival than those living in rural areas (HRa 1.67, 95% CI 1.16-2.41). Similarly, people living in areas classified as low- marginalization zones had a higher probability of survival than those living in areas with a high level of social marginalization (HRa 2.32, 95% CI 1.47-3.66). CONCLUSIONS: To reside in a rural place was identified as a negative prognostic factor for the survival of patients with PC regardless of other sociodemographic and clinical variables; patients living in high-marginalization places had an unfavorable survival prognosis.


OBJETIVOS: Determinar si el lugar de residencia y el grado de marginación se encuentran asociados a la supervivencia al cáncer de próstata. MATERIALES Y MÉTODOS: Se incluyeron a todos los pacientes diagnosticados con cáncer de próstata (CP) en el periodo 2013-2017 en un hospital de tercer nivel de atención de Veracruz, México. Los casos expuestos fueron los pacientes que habitualmente residían en zonas rurales, los no expuestos fueron los de zonas urbanas. Se recolectaron variables según características clínico epidemiológicas e histopatológicas. Para medir la supervivencia se utilizó el método de Kaplan Meier y la prueba de Log Rank. Los factores pronósticos fueron determinados calculando hazard ratio ajustado (HRa) en un análisis multivariado mediante el método de riesgos proporcionales de Cox. RESULTADOS: Se analizaron 186 casos de CP. La supervivencia global a 5 años fue de 48,3%. Los hombres que residían en zonas urbanas tuvieron una probabilidad de supervivencia mayor que quienes residían en zonas rurales (HRa 1,67; IC 95%: 1,16-2,41). Asimismo, las personas que vivían en lugares catalogados como zonas de baja marginación tuvieron una mayor probabilidad de supervivencia que quienes vivían en zonas de alta marginación (HRa 2,32; IC 95%: 1,47-3,66). CONCLUSIONES: El lugar de residencia rural se identificó como un factor de mal pronóstico para la supervivencia de pacientes con CP independientemente de otras variables sociodemográficas y clínicas; los pacientes que vivían en lugares con grados de marginación más elevados tuvieron un pronóstico desfavorable de supervivencia.


Subject(s)
Prostatic Neoplasms , Residence Characteristics , Social Marginalization , Humans , Male , Mexico/epidemiology , Prognosis , Prostatic Neoplasms/mortality , Prostatic Neoplasms/therapy , Residence Characteristics/statistics & numerical data , Survival Rate
3.
Rev. peru. med. exp. salud publica ; 37(3): 423-430, jul-sep 2020. tab, graf
Article in Spanish | LILACS | ID: biblio-1145012

ABSTRACT

Resumen Objetivos: Determinar si el lugar de residencia y el grado de marginación se encuentran asociados a la supervivencia al cáncer de próstata. Materiales y métodos: Se incluyeron a todos los pacientes diagnosticados con cáncer de próstata (CP) en el periodo 2013-2017 en un hospital de tercer nivel de atención de Veracruz, México. Los casos expuestos fueron los pacientes que habitualmente residían en zonas rurales, los no expuestos fueron los de zonas urbanas. Se recolectaron variables según características clínico epidemiológicas e histopatológicas. Para medir la supervivencia se utilizó el método de Kaplan Meier y la prueba de Log Rank. Los factores pronósticos fueron determinados calculando hazard ratio ajustado (HRa) en un análisis multivariado mediante el método de riesgos proporcionales de Cox. Resultados: Se analizaron 186 casos de CP. La supervivencia global a 5 años fue de 48,3%. Los hombres que residían en zonas urbanas tuvieron una probabilidad de supervivencia mayor que quienes residían en zonas rurales (HRa 1,67; IC 95%: 1,16-2,41). Asimismo, las personas que vivían en lugares catalogados como zonas de baja marginación tuvieron una mayor probabilidad de supervivencia que quienes vivían en zonas de alta marginación (HRa 2,32; IC 95%: 1,47-3,66). Conclusiones: El lugar de residencia rural se identificó como un factor de mal pronóstico para la supervivencia de pacientes con CP independientemente de otras variables sociodemográficas y clínicas; los pacientes que vivían en lugares con grados de marginación más elevados tuvieron un pronóstico desfavorable de supervivencia.


ABSTRACT Objectives: To determine if the place of residence and the level of social marginalization are associated with prostate cancer survival. Materials and methods: All patients diagnosed with prostate cancer (PC) in the period from 2013 to 2017 in a tertiary healthcare hospital in Veracruz, Mexico were included. Patients resided in rural and urban areas. Variables were collected according to clinical-epidemiological and histopathological characteristics. The Kaplan Meier method and the Log Rank test were used to measure survival. Prognostic factors were determined by calculating the adjusted hazard ratio (HRa) in a multivariate analysis using the Cox proportional risk method. Results: A total of 186 PC cases were analyzed. Overall, after 5 years, 48.3% of the patients survived. Men living in urban areas had a higher probability of survival than those living in rural areas (HRa 1.67, 95% CI 1.16-2.41). Similarly, people living in areas classified as low- marginalization zones had a higher probability of survival than those living in areas with a high level of social marginalization (HRa 2.32, 95% CI 1.47-3.66). Conclusions: To reside in a rural place was identified as a negative prognostic factor for the survival of patients with PC regardless of other sociodemographic and clinical variables; patients living in high-marginalization places had an unfavorable survival prognosis.


Subject(s)
Humans , Male , Prostate , Prostatic Neoplasms , Residence Characteristics , Social Marginalization , Cancer Survivors , Mexico , Patients , Prognosis , Prostatic Neoplasms/mortality , Prostatic Neoplasms/therapy , Rural Population , Rural Areas , Residence Characteristics/statistics & numerical data , Survival Rate , Urban Area , Hospitals , Mexico/epidemiology
4.
PLoS One ; 14(6): e0213046, 2019.
Article in English | MEDLINE | ID: mdl-31166945

ABSTRACT

BACKGROUND: Whole genome sequencing (WGS) has been proposed as a tool for diagnosing drug resistance in tuberculosis. However, reports of its effectiveness in endemic countries with important numbers of drug resistance are scarce. The goal of this study was to evaluate the effectiveness of this procedure in isolates from a tuberculosis endemic region in Mexico. METHODS: WGS analysis was performed in 81 tuberculosis positive clinical isolates with a known phenotypic profile of resistance against first-line drugs (isoniazid, rifampin, ethambutol, pyrazinamide and streptomycin). Mutations related to drug resistance were identified for each isolate; drug resistant genotypes were predicted and compared with the phenotypic profile. Genotypes and transmission clusters based on genetic distances were also characterized. FINDINGS: Prediction by WGS analysis of resistance against isoniazid, rifampicin, ethambutol, pyrazinamide and streptomycin showed sensitivity values of 84%, 96%, 71%, 75% and 29%, while specificity values were 100%, 94%, 90%, 90% and 98%, respectively. Prediction of multidrug resistance showed a sensitivity of 89% and specificity of 97%. Moreover, WGS analysis revealed polymorphisms related to second-line drug resistance, enabling classification of eight and two clinical isolates as pre- and extreme drug-resistant cases, respectively. Lastly, four lineages were identified in the population (L1, L2, L3 and L4). The most frequent of these was L4, which included 90% (77) of the isolates. Six transmission clusters were identified; the most frequent was TC6, which included 13 isolates with a L4.1.1 and a predominantly multidrug-resistant condition. CONCLUSIONS: The results illustrate the utility of WGS for establishing the potential for prediction of resistance against first and second line drugs in isolates of tuberculosis from the region. They also demonstrate the feasibility of this procedure for use as a tool to support the epidemiological surveillance of drug- and multidrug-resistant tuberculosis.


Subject(s)
Tuberculosis, Multidrug-Resistant/diagnosis , Whole Genome Sequencing/methods , Antitubercular Agents/pharmacology , Cluster Analysis , Drug Resistance, Bacterial/genetics , Endemic Diseases , Genotype , Humans , Mexico , Mutation , Mycobacterium tuberculosis/genetics , Mycobacterium tuberculosis/isolation & purification , Phylogeny
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