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1.
Arq. bras. oftalmol ; 87(1): e2021, 2024. tab, graf
Article in English | LILACS-Express | LILACS | ID: biblio-1527816

ABSTRACT

ABSTRACT Purpose: To evaluate the effect of tobacco smoking on trabeculectomy outcomes. Methods: Charts of patients with glaucoma who underwent trabeculectomy performed by a single surgeon between 2007 and 2016 were retrospectively reviewed. Charts were screened for a documented history of smoking status before surgery. Demographic and clinical preoperative variables were recorded. Based on smoking history, subjects were divided into two groups: smokers and nonsmokers. Any bleb-related interventions (e.g., 5-flourouracil injections ± laser suture lysis) or bleb revision performed during the postoperative period were noted. Success was defined as an intraocular pressure >5 mmHg and <21 mm Hg without (complete success) or with (qualified success) the use of ocular hypotensive medications. Failure was identified as a violation of the criteria mentioned above. Results: A total of 98 eyes from 83 subjects were included. The mean age of the subjects was 70.7 ± 11.09 years, and 53% (44/83) were female. The most common diagnosis was primary open-angle glaucoma in 47 cases (47.9%). The smokers Group included 30 eyes from 30 subjects. When compared with nonsmokers, smokers had a significantly worse preoperative best-corrected visual acuity (p=0.038), greater central corneal thickness (p=0.047), and higher preoperative intraocular pressure (p=0.011). The success rate of trabeculectomy surgery at 1 year was 56.7% in the smokers Group compared with 79.4% in the Group nonsmokers (p=0.020). Smoking presented an odds ratio for failure of 2.95 (95% confidence interval, 1.6-7.84). Conclusion: Smokers demonstrated a significantly lower success rate 1 year after trabeculectomy compared with nonsmokers and a higher requirement for bleb-related interventions.


RESUMO Objetivo: Avaliar o efeito do tabagismo nos desfechos da trabeculectomia. Métodos: Uma revisão retrospectiva do gráfico de pacientes com glaucoma submetidos à trabeculectomia foi realizada por um único cirurgião entre 2007 e 2016. Os gráficos foram examinados para uma história documentada de condição de fumante antes da cirurgia. Variáveis pré-operatórias clínicas e demográficas e clínicas foram registradas. Os pacientes foram divididos em dois grupos de acordo com sua história de tabagismo em fumantes e não fumantes. Quaisquer Intervenções relacionadas à bolha, por exemplo, injeções de 5-fluorouracil + lise de sutura com laser, ou revisão da bolha realizada durante o período pós-operatório foram observadas. O sucesso foi definido como pressão intraocular > 5 mmHg e < 21 mm Hg sem (sucesso completo) ou com (sucesso qualificado) medicamentos hipotensores oculares. A falha foi identificada como violação dos critérios mencionados acima. Resultados: O estudo incluiu 98 olhos de 83 pacientes com idade média de 70,7 ± 11,09 anos, sendo 53% (44/83) dos pacientes do sexo feminino. O diagnóstico mais comum foi o glaucoma de ângulo aberto primário com 47 casos (47,9%). O Grupo de fumantes incluiu 30 olhos de 30 pacientes. Os fumantes, quando comparados aos não fumantes, apresentaram uma melhor acuidade visual pré-operatória significativamente pior (p=0,038), maior espessura central da córnea (p=0,047) e maior pressão intraocular pré-operatória (p=0,011). A taxa de sucesso de um ano para a cirurgia de trabeculectomia foi de 56,7% no Grupo de fumantes contra 79,4% no Grupo de não fumantes (p=0,020). O tabagismo apresentou razão de chances para falha de 2,95 95% de IC (1,6-7,84). Conclusão: Os fumantes demonstraram uma taxa de sucesso significativamente menor em um ano após a trabeculectomia em comparação com os não fumantes e uma maior necessidade de intervenções relacionadas à bolha.

3.
Rev. saúde pública (Online) ; 52: 70, 2018. tab, graf
Article in English | LILACS | ID: biblio-962275

ABSTRACT

ABSTRACT OBJECTIVE To describe urinary cotinine levels in tobacco farmers. METHODS A cross-sectional study was conducted in 2,570 tobacco farmers. All participants that reported green tobacco sickness in the week prior to the interview plus a subsample of 492 pesticide applicators were included. We collected urinary samples and information about sociodemographic, behavioral, dietary, occupational characteristics, and pesticide poisoning during their lifetime. Stratification by sex and smoking was performed and the Wilcoxon and Kruskal-Wallis non-parametrical tests were used to analyze cotinine means. RESULTS This study included 582 individuals. There was no difference in urinary cotinine means between green tobacco sickness symptomatic and asymptomatic individuals. Among non-smokers, having picked tobacco in the previous week was associated with higher cotinine means in both genders. Cotinine levels were higher on the first day of symptoms and reduced exponentially with each day in female non-smokers. Male non-smokers had higher levels on the second day and a more gradual reduction. The cotinine level rose up to 15 cigarettes/day of consumption. CONCLUSIONS The urinary cotinine measures exposure to nicotine up to its saturation point; while green tobacco sickness, affected by tolerance, indicates nicotine poisoning. Strategies to reduce nicotine exposure in tobacco production are needed. Mechanization could be an alternative, as long as it overcame the challenge of irregular terrain and did not affect the quality of the leaf. More studies are needed to evaluate the chronic effect of nicotine exposure.


Subject(s)
Humans , Male , Female , Adolescent , Adult , Young Adult , Tobacco/poisoning , Occupational Exposure/analysis , Cotinine/urine , Agricultural Workers' Diseases/urine , Farmers , Nicotine/poisoning , Pesticides/adverse effects , Skin Absorption , Time Factors , Tobacco/metabolism , Brazil/epidemiology , Smoking/adverse effects , Smoking/epidemiology , Sex Factors , Cross-Sectional Studies , Occupational Exposure/adverse effects , Occupational Exposure/statistics & numerical data , Age Factors , Statistics, Nonparametric , Agricultural Workers' Diseases/epidemiology , Middle Aged , Nicotine/metabolism
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