Molecular Detection of Antibiotic Resistance Genes Using Respiratory Sample from Pneumonia Patients DOI Creative Commons

Eman Abdullah Alsuof,

Ahmad R. Alsayed,

Manar Zraikat

и другие.

Antibiotics, Год журнала: 2025, Номер 14(5), С. 502 - 502

Опубликована: Май 13, 2025

Antibiotic resistance makes the treatment of pneumonia challenging. Effective management depends on accurate diagnostic techniques to identify genes and customize drugs. This study primarily aimed antibiotic in respiratory samples from patients with using polymerase chain reaction (PCR) determine prevalence specific analyze clinical factors contributing resistance, as well provide actionable insights into patterns Jordan support efforts improve management. retrospective observational included 114 who were diagnosed pneumonia. Clinical data, including prior exposure history, collected. PCR diagnostics used detect samples. In this study, we evaluated 14 pathogens, highlighting their diverse mechanisms. Mec A was most frequently detected gene, appearing 87 (77.3%). Additionally, Tem 80 (70.2%), Oxa-48-like 15 (13.2%), Ctx-M-1 38 (33.3%) among commonly genes. contrast, Oxa-40-like (7.0%), Vim (8.8%), Imp (4.4%) exhibited a lower prevalence. The Oxa-51-like gene showed only significant association ertapenem (p-value = 0.046). Further analysis revealed statistically associations between methicillin (p < 0.001), underscoring its critical role. However, other genes, such Oxa-48-like, no correlation imipenem meropenem > 0.05). demonstrates utility PCR-based for detecting highlights associated These findings underscore importance integrating molecular routine care outcomes combat growing threat Jordan. PCR's value guiding effective strategies addressing multidrug-resistant

Язык: Английский

The role of human rhinovirus in COPD exacerbations in Abu Dhabi: molecular epidemiology and clinical significance DOI Creative Commons
Ahmad R. Alsayed, Anas Abed, Heba A. Khader

и другие.

Libyan Journal of Medicine, Год журнала: 2024, Номер 19(1)

Опубликована: Янв. 30, 2024

This study aimed to describe the molecular epidemiology and seasonality of human rhinovirus (HRV) in chronic obstructive pulmonary disease (COPD) its association with COPD exacerbations Abu Dhabi, United Arab Emirates (UAE). Sputum specimens were collected for analysis from all patients who visited a medical center November 2021 October 2022. The real-time quantitative polymerase chain reaction (qPCR) test was used detect HRV. Of 78 included study, 58 (74%) presented one or more exacerbation episodes. incidence peaked over winter substantially decreased during summer. HRV positivity (E1) 11/58 (19%) 15/58 (26%) two weeks after episode (E2). There no significant difference load these patients. No statistically observed detection compared stable COPD. is first assess between by qPCR UAE. high sensitivity technology helped collect reliable epidemiologic data. Few studies have provided similar Middle East study’s pattern parallels that temperate countries. information can help future, extensive surveillance respiratory viruses UAE their exacerbations.

Язык: Английский

Процитировано

5
Molecular Detection of Antibiotic Resistance Genes Using Respiratory Sample from Pneumonia Patients DOI Creative Commons

Eman Abdullah Alsuof,

Ahmad R. Alsayed,

Manar Zraikat

и другие.

Antibiotics, Год журнала: 2025, Номер 14(5), С. 502 - 502

Опубликована: Май 13, 2025

Antibiotic resistance makes the treatment of pneumonia challenging. Effective management depends on accurate diagnostic techniques to identify genes and customize drugs. This study primarily aimed antibiotic in respiratory samples from patients with using polymerase chain reaction (PCR) determine prevalence specific analyze clinical factors contributing resistance, as well provide actionable insights into patterns Jordan support efforts improve management. retrospective observational included 114 who were diagnosed pneumonia. Clinical data, including prior exposure history, collected. PCR diagnostics used detect samples. In this study, we evaluated 14 pathogens, highlighting their diverse mechanisms. Mec A was most frequently detected gene, appearing 87 (77.3%). Additionally, Tem 80 (70.2%), Oxa-48-like 15 (13.2%), Ctx-M-1 38 (33.3%) among commonly genes. contrast, Oxa-40-like (7.0%), Vim (8.8%), Imp (4.4%) exhibited a lower prevalence. The Oxa-51-like gene showed only significant association ertapenem (p-value = 0.046). Further analysis revealed statistically associations between methicillin (p < 0.001), underscoring its critical role. However, other genes, such Oxa-48-like, no correlation imipenem meropenem > 0.05). demonstrates utility PCR-based for detecting highlights associated These findings underscore importance integrating molecular routine care outcomes combat growing threat Jordan. PCR's value guiding effective strategies addressing multidrug-resistant

Язык: Английский

Процитировано

0