肝硬化并发自发性细菌性腹膜炎98例临床分型及意义

摘要

目的：分析肝硬化并发自发性细菌性腹膜炎的临床分型，探讨分型治疗的方法及意义。方法：筛选我院病房肝硬化并发自发性细菌性腹膜炎的患者98例，对患者进行临床分型，观察分型所占比例情况，并检测各分型中腹水细菌阳性率。结合细菌药敏试验选择敏感的抗生素和一般对症治疗，观察各证型的预后情况。结果：98例肝硬化并发自发性细菌性腹膜炎患者中典型患者有29例，占29.59%，非典型患者有69例，占70.41%，两种临床分型所占比例间的差距有统计学意义(P<0.05)。98例患者中有34例患者的腹水细菌检测呈阳性，阳性率为34.69%，典型患者中腹水细菌阳性有13例，占44.83%，非典型有21例，占30.43%。治疗后9痊愈的患者有21例，占总数的21.43%，病情好转的患者有43例，占43.88%，黄疸型、肝昏迷型和休克型三型患者预后差结论：肝硬化并发自发性细菌性腹膜炎各临床分型的临床表现不同，应及时诊断治疗，治疗时选择敏感的抗生素进行有的放矢的治疗，提高患者的生活质量。%Objective:To analyse liver cirrhosis intercurrent spontaneous bacterial peritonitis, this paper discusses the clinical parting parting treatment methods and significance. Methods: Screening in our ward cirrhosis patients with spontaneous bacterial peritonitis, 98 cases of patients with clinical parting, observe the proportion of parting, and testing each type of ascites bacteria positive rate. Combined with bacterial drug sensitive test choose sensitive antibiotics and general symptomatic treatment, observation every syndrome type of prognosis. Results:All 98 cases of liver cirrhosis intercurrent in patients with spontaneous bacterial peritonitis in patients with typical 29 cases, accounting for 29.59%, atypical patients in 69 cases, accounting for 70.41%, two kinds of clinical classification and proportion of the gap between have statistical significance (P<0.05). 98 cases of patients with 34 patients ascites bacteria detection shows masculine gender, positive rate is 34.69%, the typical patients ascites bacteria positive have 13 cases, accounting for 44.83%, atypical 21 cases, accounting for 30.43%. After treatment and recovery of the patients have 21 cases, accounting for 21.43%of the total, improved of the patients have 43 cases, accounting for 43.88%, jaundice type, hepatic coma type and shock type three type patients prognosis is poor .Conclusion: Liver cirrhosis intercurrent spontaneous bacterial peritonitis each clinical parting the clinical manifestations of different, should be timely diagnosis and treatment, the treatment choice sensitive antibiotics for targeted treatment, improve the quality of life of the patients.