三级医院小儿败血症患者的细菌谱及其药敏模式

Farhan Rasheed, Iqra Jamil, Tahira Tehseen, Abeera Sikandar, Saba Anwar, Sajjad Rafique
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 Blood stream infection is a life-threatening infection, leading to increased morbidity and mortality in pediatric population. Antimicrobial drug resistance is a major therapeutic challenge and may result in treatment failure. Thus, this study aimed to assess the bacterial profile causing septicemia and their antimicrobial resistance pattern among pediatric population.
 Methods: 
 This reterospective study was conducted in pathology department of Hameed Latif Hospital, Lahore, over a period of two years, from 1st January 2021 to 31 December 2022. Blood samples were aseptically collected and were transferred into Bact/Alert blood culture bottle. After the detection of microbial growth by Bact/Alert 3D system, bacterial isolates were identified by standard microbiological procedures. Antimicrobial sensitivity pattern was determined by Modified Kirby-Bauer disc diffusion method on Mueller Hinton agar. Data was entered and analyzed by using Microsoft Excel 2010.
 Results:
 In our study, out of 1306 blood culture samples, 217(16.6%) were positive for bacterial growth. Among positive cases, Gram negative organisms were predominant isolates 181(83.4%), while Gram positive organisms were isolated in 36(16.6%) samples. Most common bacterial isolates were S. typhi (24%), A.baumanii (19%), P.aeruginosa (9%), while S.aureus and MRSA were 8% each. Highly resistant class of drugs for Gram-positive bacteria were found to be Aminopenicillin (69.1%) and Macrolides (68.6%), while Gram-negative organisms showed maximum resistance against Tetracycline (72.9%), Fluoroquinolones (62.1%) and Cephalosporins (61%).
 Conclusion:
 Bacterial isolates clinically suspected cases of septicemia were high. Majority of bacterial isolates showed maximum drug resistance against different classes of antibiotics. To prevent antibiotic resistance, strict regulation of antibiotic utilization and infection control programs should be implemented.","PeriodicalId":492993,"journal":{"name":"JAIMC Journal of Allama Iqbal Medical College","volume":"175 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Bacterial Profile and their Antimicrobial Susceptibility Pattern in Pediatric Septicemia patients from Tertiary Care Hospital.\",\"authors\":\"Farhan Rasheed, Iqra Jamil, Tahira Tehseen, Abeera Sikandar, Saba Anwar, Sajjad Rafique\",\"doi\":\"10.59058/jaimc.v21i2.83\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background:
 Blood stream infection is a life-threatening infection, leading to increased morbidity and mortality in pediatric population. Antimicrobial drug resistance is a major therapeutic challenge and may result in treatment failure. Thus, this study aimed to assess the bacterial profile causing septicemia and their antimicrobial resistance pattern among pediatric population.
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 This reterospective study was conducted in pathology department of Hameed Latif Hospital, Lahore, over a period of two years, from 1st January 2021 to 31 December 2022. Blood samples were aseptically collected and were transferred into Bact/Alert blood culture bottle. After the detection of microbial growth by Bact/Alert 3D system, bacterial isolates were identified by standard microbiological procedures. Antimicrobial sensitivity pattern was determined by Modified Kirby-Bauer disc diffusion method on Mueller Hinton agar. Data was entered and analyzed by using Microsoft Excel 2010.
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引用次数: 0

摘要

背景:& # x0D;血流感染是一种危及生命的感染,导致儿童发病率和死亡率增加。抗微生物药物耐药性是一个主要的治疗挑战,并可能导致治疗失败。因此,本研究旨在评估儿童败血症的细菌谱及其耐药性模式。 方法:& # x0D;这项回顾性研究是在拉合尔Hameed Latif医院病理科进行的,为期两年,从2021年1月1日至2022年12月31日。无菌采集血样,移入Bact/Alert血培养瓶。用Bact/Alert 3D系统检测微生物生长后,用标准微生物学程序鉴定分离的细菌。采用改良Kirby-Bauer圆盘扩散法在Mueller Hinton琼脂上测定抗菌药敏谱。使用Microsoft Excel 2010进行数据录入和分析。 结果:& # x0D;在我们的研究中,在1306份血液培养样本中,217份(16.6%)细菌生长阳性。检出革兰阴性菌181例(83.4%),检出革兰阳性菌36例(16.6%)。最常见的分离细菌为伤寒沙门氏菌(24%)、鲍曼假单胞菌(19%)和铜绿假单胞菌(9%),金黄色葡萄球菌和MRSA各占8%。革兰氏阳性菌对氨霉素(69.1%)和大环内酯类药物(68.6%)的耐药程度最高,革兰氏阴性菌对四环素(72.9%)、氟喹诺酮类(62.1%)和头孢菌素(61%)的耐药程度最高;结论:& # x0D;临床怀疑败血症的细菌分离病例较高。大多数细菌分离株对不同种类的抗生素均表现出最大的耐药性。为防止抗生素耐药性,应严格规范抗生素使用和实施感染控制方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bacterial Profile and their Antimicrobial Susceptibility Pattern in Pediatric Septicemia patients from Tertiary Care Hospital.
Background: Blood stream infection is a life-threatening infection, leading to increased morbidity and mortality in pediatric population. Antimicrobial drug resistance is a major therapeutic challenge and may result in treatment failure. Thus, this study aimed to assess the bacterial profile causing septicemia and their antimicrobial resistance pattern among pediatric population. Methods: This reterospective study was conducted in pathology department of Hameed Latif Hospital, Lahore, over a period of two years, from 1st January 2021 to 31 December 2022. Blood samples were aseptically collected and were transferred into Bact/Alert blood culture bottle. After the detection of microbial growth by Bact/Alert 3D system, bacterial isolates were identified by standard microbiological procedures. Antimicrobial sensitivity pattern was determined by Modified Kirby-Bauer disc diffusion method on Mueller Hinton agar. Data was entered and analyzed by using Microsoft Excel 2010. Results: In our study, out of 1306 blood culture samples, 217(16.6%) were positive for bacterial growth. Among positive cases, Gram negative organisms were predominant isolates 181(83.4%), while Gram positive organisms were isolated in 36(16.6%) samples. Most common bacterial isolates were S. typhi (24%), A.baumanii (19%), P.aeruginosa (9%), while S.aureus and MRSA were 8% each. Highly resistant class of drugs for Gram-positive bacteria were found to be Aminopenicillin (69.1%) and Macrolides (68.6%), while Gram-negative organisms showed maximum resistance against Tetracycline (72.9%), Fluoroquinolones (62.1%) and Cephalosporins (61%). Conclusion: Bacterial isolates clinically suspected cases of septicemia were high. Majority of bacterial isolates showed maximum drug resistance against different classes of antibiotics. To prevent antibiotic resistance, strict regulation of antibiotic utilization and infection control programs should be implemented.
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