Antibiotic Resistance Pattern of Bacteria Isolated from Clinical Specimens: A Hospital-Based Cross-sectional Study in Kathmandu, Nepal

R. P. Parajuli, Niten Bharati, Shristi Bhandari, Dharmaraj Kumar Patel, Arti Neupane, Zainuddin Ansari, Siddha Raj Ojha, Anju Karmacharya, Anisha Kc, Rachana Bhusal, Yamini Chettri, Merina Lama, Tsunami Thapa Magar, Minu Shilpakar, Sandhya Gautam, Madan Nepal, N. Yadav, Muna Bhattarai, Bimala Bhattarai, Shaniya Bhusal, Ganesh Chaudhary, Jitendra Gautam, S. P. Dumre
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Abstract

Antibiotics are vital in combating infectious diseases, yet their increasing use fosters resistance. Antimicrobial resistance (AMR) is rising in Nepal due to factors such as indiscriminate, inappropriate, and inadequate antibiotic usage. This study aims to explore the association between demographic factors and the prevalence of specific bacterial strains within the surveyed population. Additionally, it seeks to determine the antibiotic resistance patterns of these bacteria. Antibiotic susceptibility or resistance data were retrieved from the Medical Records Department (MRD) of the Manmohan Memorial Medical College and Teaching Hospital (MMMCTH) in Kathmandu. Samples from patients with certain types of bacterial infections were included, with 56 from sputum reports, 46 from urine, and 8 from blood samples out of 110 retrieved. Analysis revealed that sputum samples were mostly from older males, while urine samples were mostly from females. Yet, gender did not significantly influence bacterial presence across sample types. Overall, Escherichia coli was the most prevalent bacterium (74%), followed by Salmonella typhi (25%), Staphylococcus aureus (25%), and Klebsiella pneumoniae (23%) isolated from different type of clinical samples. Altogether, 6-15 antibiotics were assessed for sensitivity, with 2–6 antibiotics showing sensitivity to blood bacteria, 1-6 antibiotics demonstrating sensitivity to sputum bacteria, and 3–8 antibiotics exhibiting sensitivity to urine bacteria. Many investigated antibiotics were resistant, only gentamicin exhibited sensitivity for all types of bacteria found in blood, sputum and urine. These findings underscore the importance of discerning bacterial resistance patterns for effective antimicrobial treatment selection.
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从临床标本中分离的细菌的抗生素耐药性模式:尼泊尔加德满都医院横断面研究
抗生素在防治传染病方面至关重要,但抗生素的使用日益增多却助长了抗药性。在尼泊尔,由于抗生素的滥用、使用不当和不足等因素,抗生素耐药性(AMR)正在上升。本研究旨在探讨人口因素与被调查人群中特定细菌菌株流行率之间的关联。此外,它还试图确定这些细菌的抗生素耐药性模式。抗生素敏感性或耐药性数据取自加德满都曼莫汉纪念医学院和教学医院(MMMCTH)的病历部(MRD)。110 份样本中,56 份来自痰液报告,46 份来自尿液报告,8 份来自血液报告。分析显示,痰液样本大多来自老年男性,而尿液样本大多来自女性。然而,性别对不同类型样本中细菌的存在并无明显影响。总体而言,从不同类型的临床样本中分离出的细菌以大肠埃希菌最多(74%),其次是伤寒沙门氏菌(25%)、金黄色葡萄球菌(25%)和肺炎克雷伯菌(23%)。总共对 6-15 种抗生素进行了敏感性评估,其中 2-6 种抗生素对血液细菌敏感,1-6 种抗生素对痰菌敏感,3-8 种抗生素对尿液细菌敏感。许多被调查的抗生素都具有耐药性,只有庆大霉素对血液、痰液和尿液中发现的所有类型的细菌都具有敏感性。这些发现强调了辨别细菌耐药性模式对有效选择抗菌治疗方法的重要性。
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