Hussain Taimoor, Moqadasi Mehdi, Malik Sheza, Salman Zahid Asjad, Nazary Kefayatullah, Khosa Shafi M, Arshad Mohammad Mohsin, Joyce John, Khan Rajeswari, Puvvada Sneha, Walizada Khalida, Khan Abdul Rahim
Neurology/General Practitioner, Bolan Medical College, Quetta, PAK.
Medical Laboratory Technology, Shafa Khana Sahib Zaman Hosptial, Quetta, PAK.
Cureus. 2021 Aug 28;13(8):e17527. doi: 10.7759/cureus.17527. eCollection 2021 Aug.
Objective To determine the pattern of microbes responsible for urinary tract infections and their susceptibility to different antibiotics. Method This is a cross-sectional study conducted at Quetta, Pakistan. The urine samples of 400 patients were collected and sent for culture and sensitivity analysis. The results were recorded on an excel datasheet. Descriptive statistics were used to describe the data. Results Out of 400 urine samples, 266 samples were culture positive for microorganisms. The most common organism on analysis was 123/266 (46.24%) followed by 59/266 (22.18%) and 49/266 (18.42%). Gram-negative microorganisms were most susceptible to fosfomycin, cefoperazone/sulbactam, and meropenem. Gram-positive microorganisms were most susceptible to fosfomycin, cefoperazone/sulbactam, meropenem, and amoxicillin/clavulanate. High rates of resistance in were observed to most commonly prescribed broad-spectrum antibiotics; ceftriaxone (64.35%), cefotaxime (76.54%), ceftazidime (49.43%), cefepime (53.44%), levofloxacin (71.26%), and amoxicillin/clavulanate (70.31%). was the major multidrug-resistant organism. Conclusion High rates of antibiotic resistance and multi-drug resistance were revealed in this study due to the widespread and injudicious use of broad-spectrum antibiotics. Thus, it is highly recommended to regulate the pharmacies. Physicians should judiciously prescribe antibiotics and practice the culture and sensitivity of urine samples rather than blind prescription. Continued surveillance on uropathogens prevalence and resistance, new and next-generation antibiotics, and rapid diagnostic tests to differentiate viral from bacterial infections is the need of time.
目的 确定引起尿路感染的微生物模式及其对不同抗生素的敏感性。方法 这是一项在巴基斯坦奎达进行的横断面研究。收集了400名患者的尿液样本并送去进行培养和药敏分析。结果记录在Excel数据表上。使用描述性统计来描述数据。结果 在400份尿液样本中,266份样本微生物培养呈阳性。分析中最常见的微生物是[未提及具体微生物名称1],占123/266(46.24%),其次是[未提及具体微生物名称2],占59/266(22.18%)和[未提及具体微生物名称3],占49/266(18.42%)。革兰氏阴性微生物对磷霉素、头孢哌酮/舒巴坦和美罗培南最敏感。革兰氏阳性微生物对磷霉素、头孢哌酮/舒巴坦、美罗培南和阿莫西林/克拉维酸最敏感。观察到[未提及具体微生物名称]对最常用的广谱抗生素耐药率较高;头孢曲松(64.35%)、头孢噻肟(76.54%)头孢他啶(49.43%)、头孢吡肟(53.44%)、左氧氟沙星(71.26%)和阿莫西林/克拉维酸(70.31%)。[未提及具体微生物名称]是主要的多重耐药菌。结论 由于广谱抗生素的广泛和不合理使用,本研究揭示了较高的抗生素耐药率和多重耐药率。因此,强烈建议规范药房。医生应谨慎使用抗生素,对尿液样本进行培养和药敏分析,而不是盲目开处方。持续监测尿路病原体的流行情况和耐药性、新型和下一代抗生素以及区分病毒感染和细菌感染的快速诊断测试是当务之急。