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Validating the surgical indication value of the LTB-S classification system for drug resistant tuberculosis

机译:验证LTB-S分类系统的耐药结核病的手术指示值

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Background Currently there is no guideline based on preoperative clinical parameters for assessing the prognosis of the adjunctive surgery for drug-resistant tuberculosis. Methods We retrospectively analyzed 138 patients who had undergone surgical resection as a treatment for drug- resistant tuberculosis after 24 months. Four clinical parameters on lesion type, treatment history, body physiological status, and surgery approach were evaluated. Categorical preoperative clinical parameters were analyzed by ordinal logistic regression model when considering postoperative complications as outcomes ordered in terms of severity. Statistically significant parameters were then combined in a single classification system for predicting the outcomes of the adjunctive surgery. Findings Diffused, progressive bilateral lesions, or active/progressive extra pulmonary tuberculosis (L3), and history of less than 2 months treatment before surgery (T3) were the strongest predicative parameters for postoperative complications and for surgery failure. Classification systems based on the four parameters were found to have a statistically significant effect on postoperative complications and postoperative efficacy. 24- month follow up indicated a high cure rate (above 95.5%) among patients without T3, L3, or severe physiological complications (B3). Interpretation A classification system based on objective clinical parameters showed predicative value for the prognosis of the adjunctive surgery and could guide management of drug-resistant Tuberculosis.
机译:背景技术目前没有基于术前临床参数的指导,用于评估耐药结核病的辅助手术预后。方法我们回顾性分析了138名患者,在24个月后经历手术切除作为耐药结核病的治疗。评估了病变型,治疗史,身体生理状态和手术方法的四个临床参数。在术后并发症考虑到严重程度方面的结果时,通过序数逻辑回归模型进行分类术前临床参数。然后在单一分类系统中组合统计学上显着的参数,以预测辅助手术的结果。调查结果扩散,进步性双侧病变或活性/渐进式额外的肺结核(L3)以及手术前(T3)前的历史少于2个月,是术后并发症的最强预测参数和手术失败。发现基于四个参数的分类系统对术后并发症和术后疗效具有统计学显着的影响。 24 - 月后续表明没有T3,L3或严重生理并发症(B3)的患者中的高固化率(高于95.5%)。解释基于客观临床参数的分类系统对辅助手术预后的预测值,可以指导耐药结核病的管理。

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