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W V Med J ; 109(5): 32-6, 2013.
Artigo em Inglês | MEDLINE | ID: mdl-24294709

RESUMO

AIMS: To compare the rate of glove perforations and surgeon satisfaction when utilizing blunt surgical needles compared to conventional sharp surgical needles. METHODS: Patients undergoing Caesarean delivery were randomly assigned to the use of blunt or sharp surgical suture needles. Surgical team members reported any known needlesticks or perforations of gloves and the primary surgeon completed a survey to gauge their satisfaction with the needles. Glove perforation was assessed by suspending gloves and filling with water. The chi-square test was used to assess categorical variables and the Mann-Whitney U-test was used to assess ordinal data. RESULTS: A total 240 patients were enrolled into the study. There was no statistically significant difference in the rate of glove perforation per case between groups assigned to sharp (24%) or blunt surgical needles (26%). (RR 1.05, 95% CI 0.68-1.63). There were significant differences in the surgeon satisfaction surveys, with surgeons in the sharp needle group being more satisfied with the tissue penetration of the needle (p < .001), needle integrity (p = .01), force to penetrate tissue (p < .001) and control of bleeding at the needle insertion site (p = .001). Surveys from surgeons in the blunt needle group showed a statistically significant improvement in the perceived safety profile of the blunt needles (p < .001) CONCLUSIONS: There was no significant difference in the rate of glove perforation between blunt and sharp surgical needles during Caesarean delivery. Overall surgeons were more satisfied with the sharp surgical needles.


Assuntos
Cesárea/instrumentação , Luvas Cirúrgicas/estatística & dados numéricos , Agulhas/estatística & dados numéricos , Ferimentos Penetrantes Produzidos por Agulha , Técnicas de Sutura/instrumentação , Técnicas de Sutura/estatística & dados numéricos , Comportamento do Consumidor/estatística & dados numéricos , Desenho de Equipamento , Feminino , Hospitais Universitários , Humanos , Estudos Prospectivos , Estatísticas não Paramétricas , West Virginia
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