Department of Medicine, Michael E. DeBakey VA Medical Center, and Baylor College of Medicine, Houston, Texas.
Department of Internal Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan.
Clin Gastroenterol Hepatol. 2014 Feb;12(2):177-86.e3; Discussion e12-3. doi: 10.1016/j.cgh.2013.05.028. Epub 2013 Jun 8.
Data are available such that choice of Helicobacter pylori therapy for an individual patient can be reliably predicted. Here, treatment success is defined as a cure rate of 90% or greater. Treatment outcome in a population or a patient can be calculated based on the effectiveness of a regimen for infections with susceptible and with resistant strains coupled with the knowledge of the prevalence of resistance (ie, based on formal measurement, clinical experience, or both). We provide the formula for predicting outcome and we illustrate the calculations. Because clarithromycin-containing triple therapy and 10-day sequential therapy are now only effective in special populations, they are considered obsolete; neither should continue to be used as empiric therapies (ie, 7- and 14-day triple therapies fail when clarithromycin resistance exceeds 5% and 15%, respectively, and 10-day sequential therapy fails when metronidazole resistance exceeds 20%). Therapy should be individualized based on prior history and whether the patient is in a high-risk group for resistance. The preferred choices for Western countries are 14-day concomitant therapy, 14-day bismuth quadruple therapy, and 14-day hybrid sequential-concomitant therapy. We also provide details regarding the successful use of fluoroquinolone-, rifabutin-, and furazolidone-containing therapies. Finally, we provide recommendations for the efficient development (ie, identification and optimization) of new regimens, as well as how to prevent or minimize failures. The trial-and-error approach for identifying and testing regimens frequently resulted in poor treatment success. The described approach allows outcome to be predicted and should simplify treatment and drug development.
有数据表明,可以可靠地预测个体患者的幽门螺杆菌治疗选择。这里,治疗成功定义为治愈率达到 90%或更高。可以根据易感菌株和耐药菌株的方案有效性以及耐药率的知识(即基于正式测量、临床经验或两者兼而有之)来计算人群或患者的治疗结果。我们提供了预测结果的公式,并举例说明了计算方法。由于含克拉霉素的三联疗法和 10 天序贯疗法现在仅对特殊人群有效,因此它们被认为已经过时;都不应继续作为经验性疗法使用(即当克拉霉素耐药率超过 5%和 15%时,7 天和 14 天三联疗法失败,而当甲硝唑耐药率超过 20%时,10 天序贯疗法失败)。应根据既往病史和患者是否处于耐药的高危人群来个体化治疗。西方国家的首选方案是 14 天同时治疗、14 天铋四联疗法和 14 天混合序贯-同时治疗。我们还提供了关于成功使用含氟喹诺酮类、利福布汀和呋喃唑酮疗法的详细信息。最后,我们提供了关于新方案的高效开发(即鉴定和优化)以及如何预防或最小化失败的建议。为了鉴定和测试方案而进行的反复试验方法常常导致治疗成功率较低。所描述的方法可以预测结果,应简化治疗和药物开发。