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1.
J Vasc Interv Radiol ; 24(12): 1798-807, 2013 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-23810652

RESUMO

PURPOSE: To evaluate the correlation between packing density and the incidence of coil compaction or recanalization of visceral artery aneurysms (VAAs) after coil packing. MATERIALS AND METHODS: Between July 2004 and April 2012, coil packing was performed for 46 true visceral aneurysms (16 splenic, 11 pancreaticoduodenal, eight renal, six hepatic, three superior mesenteric, one right gastric, and one gastroepiploic) in 42 patients. The size and volume of the aneurysm, packing density, and the incidences of compaction and recanalization were evaluated retrospectively. RESULTS: The mean follow-up period was 37 months ± 8 (range, 11-80 mo). The mean packing density was 19% ± 8 (range, 5%-42%), mean aneurysm size was 19 mm ± 8 (range, 5-40 mm), and mean volume was 4,108 mm(3) ± 5,435 (range, 72-26,235 mm(3)). Compaction and recanalization occurred in two (4%) and 12 aneurysms (26%), respectively. The mean packing density was significantly lower in aneurysms with compaction or recanalization than in unaffected aneurysms (12% vs 22%; P = .00014). There was a significant difference in mean packing density between small (< 20 mm; 22%) and large (≥ 20 mm) aneurysms (15%; P = .0045). The mean size and volume were significantly larger for coil-compacted or recanalized aneurysms than for unaffected aneurysms (P < .05). In aneurysms with a packing density of at least 24%, no compaction or recanalization occurred. CONCLUSIONS: Coil compaction or recanalization after coil packing for VAAs more often occurs after insufficient embolization with low packing density and in patients with large aneurysms.


Assuntos
Aneurisma/terapia , Embolização Terapêutica/métodos , Vísceras/irrigação sanguínea , Adulto , Idoso , Idoso de 80 Anos ou mais , Aneurisma/diagnóstico , Embolização Terapêutica/efeitos adversos , Embolização Terapêutica/instrumentação , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Tomografia Computadorizada Multidetectores , Recidiva , Estudos Retrospectivos , Fatores de Tempo , Resultado do Tratamento
2.
Masui ; 62(10): 1166-72, 2013 Oct.
Artigo em Japonês | MEDLINE | ID: mdl-24228448

RESUMO

BACKGROUND: The purpose of this study was to identify possible predictors of discontinuation of basal-flow of postoperative patient-controlled analgesia. METHODS: We reviewed postoperative pain assessment records by the postoperative pain service team from April 2010 to July 2011 in which surgical patients were provided with intravenous or epidural patient-controlled analgesia (IV-PCA or Epi-PCA). From these data, we extracted cases with discontinuation of basal-flow of PCA, and candidate variables such as patients' characteristics, preoperative and intraoperative variables were assessed. Predictors with significant univariate association (P < 0.20) with the primary outcome were used to construct multivariable logistic regression models. RESULTS: We enrolled 685 patients for IV-PCA and 606 for Epi-PCA and obtained discontinuation groups (105 and 73 cases, respectively) with this cohort data. Results of multivariate analysis showed female, non-laparotomy, low body weight, and non-droperidol as independent risk factors for IV-PCA and low body weight, no-co-existing disease, and gastrointestinal surgery for Epi-PCA. There were no significant differences in pain intensity between discontinuation and non-discontinuation cases. The primary cause of discontinuation was PONV for IV-PCA and hypotension for Epi-PCA, respectively. CONCLUSIONS: We should apply IV-PCA for female slender surgical patients undergoing non-laparotomy with great caution and provide prevention for PON. We should pay attention to incidence of postoperative hypotenion when we administer Epi-PCA to slender gastrointestinal surgical patients without co-existing disease.


Assuntos
Analgesia Controlada pelo Paciente/efeitos adversos , Idoso , Analgesia Epidural , Analgesia Controlada pelo Paciente/métodos , Feminino , Previsões , Humanos , Masculino , Pessoa de Meia-Idade , Análise Multivariada
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