GERMS最新文献_第4页

Competition for tooth surface - Microbial Olympics. 争夺牙面--微生物奥运会。

IF 1.7

GERMS Pub Date : 2024-03-31 eCollection Date: 2024-03-01 DOI: 10.18683/germs.2024.1412

Mihnea Ioan Nicolescu, Alexandra Maria Bălănici

引用次数: 0

Implications of using artificial intelligence in the diagnosis of sepsis/sepsis shock. 使用人工智能诊断败血症/败血症休克的意义。

IF 1.7

GERMS Pub Date : 2024-03-31 eCollection Date: 2024-03-01 DOI: 10.18683/germs.2024.1419

Gabriel-Petre Gorecki, Dana-Rodica Tomescu, Liana Pleș, Anca-Maria Panaitescu, Șerban Dragosloveanu, Cristian Scheau, Romina-Marina Sima, Ionuț-Simion Coman, Valentin-Titus Grigorean, Daniel Cochior

{"title":"Implications of using artificial intelligence in the diagnosis of sepsis/sepsis shock.","authors":"Gabriel-Petre Gorecki, Dana-Rodica Tomescu, Liana Pleș, Anca-Maria Panaitescu, Șerban Dragosloveanu, Cristian Scheau, Romina-Marina Sima, Ionuț-Simion Coman, Valentin-Titus Grigorean, Daniel Cochior","doi":"10.18683/germs.2024.1419","DOIUrl":"10.18683/germs.2024.1419","url":null,"abstract":"Introduction: Sepsis and septic shock represent severe pathological states, characterized by the systemic response to infection, which can lead to organ dysfunction and high mortality. Early diagnosis and rapid intervention are crucial for improving survival chances. However, the diagnosis of sepsis is complex due to its nonspecific symptoms and the variability of patient responses to infections.Methods: The objective of this research was to analyze the implications of using artificial intelligence (AI) in the diagnosis of sepsis and septic shock. The research method applied in the analysis of the implications of using artificial intelligence (AI) in the diagnosis of sepsis and septic shock is the literature review.Results: Among the benefits of using AI in the diagnosis of sepsis, it is noted that artificial intelligence can rapidly analyze large volumes of clinical data to identify early signs of sepsis, sometimes even before symptoms become evident to medical staff. AI models can use predictive algorithms to assess the risk of sepsis in patients, allowing for early interventions that can save lives. AI can contribute to the development of personalized treatment plans, adapting to the specific needs of each patient based on their medical history and response to treatment. The use of patient data to train AI models raises concerns regarding data privacy and security.Conclusions: Artificial intelligence has the potential to revolutionize the diagnosis and treatment of sepsis, offering powerful tools for early identification and management of this critical condition. However, to realize this potential, close collaboration between researchers, clinicians, and technology developers is necessary, as well as addressing ethical and implementation challenges.","PeriodicalId":45107,"journal":{"name":"GERMS","volume":"14 1","pages":"77-84"},"PeriodicalIF":1.7,"publicationDate":"2024-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11333838/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142019032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Tuberculosis prostate abscess: molecular diagnostic testing. 结核性前列腺脓肿：分子诊断检测。

IF 1.7

GERMS Pub Date : 2024-03-31 eCollection Date: 2024-03-01 DOI: 10.18683/germs.2024.1423

Santiago Gómez-Jordan, Samuel Jarava, Yuliana Ascencio-Guzmán, Diego Viasus

引用次数: 0

Occurrence of acute otitis and sinusitis in patients hospitalized for influenza. 因流感住院的患者中出现急性耳炎和鼻窦炎的情况。

IF 1.7

GERMS Pub Date : 2024-03-31 eCollection Date: 2024-03-01 DOI: 10.18683/germs.2024.1416

Vlad Ștefan Pleșca, Adrian Gabriel Marinescu, Cătălina Voiosu, Anca Cristina Drăgănescu, Anca Streinu-Cercel, Alexandra Vilaia, Răzvan Hainăroșie, Doina Anca Pleșca, Oana Săndulescu

{"title":"Occurrence of acute otitis and sinusitis in patients hospitalized for influenza.","authors":"Vlad Ștefan Pleșca, Adrian Gabriel Marinescu, Cătălina Voiosu, Anca Cristina Drăgănescu, Anca Streinu-Cercel, Alexandra Vilaia, Răzvan Hainăroșie, Doina Anca Pleșca, Oana Săndulescu","doi":"10.18683/germs.2024.1416","DOIUrl":"10.18683/germs.2024.1416","url":null,"abstract":"Introduction: Acute otitis and sinusitis are common complications in patients with influenza and are responsible for increased hospitalization rates.Methods: A five-year retrospective study (2018-2023) was conducted including all patients hospitalized for influenza (etiologic diagnosis by RT-PCR) to identify the incidence and characteristics of cases complicated with otitis and/or sinusitis. Cases associated with other viral co-infections were excluded from the analysis.Results: We identified a cumulative rate of 20.6% (324 cases) of acute otitis (AO) and acute sinusitis (AS) among patients with influenza. Of these, 62.3% had AO, 28.1% AS, and 9.6% concomitant AO and AS. Cases of AO were predominant in the pediatric population (97.0%), while cases of AS were more common in adults (56.1%). Influenza A viruses were identified in 67.2% of patients. The infection with influenza B viruses increased the risk of acute congestive otitis media 2.1-fold (p=0.020), and influenza A viruses increased the risk of acute maxillary sinusitis 2.7-fold (p=0.029). Late presentation to the hospital, with a median of 4 days from the onset of influenza symptoms, was identified as a factor in the occurrence of AO and AS.Conclusions: The risk of AO and AS is increased in patients with influenza, especially in the pediatric population and in late hospital presentations. These findings highlight the importance of proper monitoring and management of patients with influenza to prevent the development of complications, as well as the need to better understand the mechanisms whereby influenza viruses contribute to these secondary conditions.","PeriodicalId":45107,"journal":{"name":"GERMS","volume":"14 1","pages":"38-44"},"PeriodicalIF":1.7,"publicationDate":"2024-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11333841/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142019033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Pathophysiological correlations between SARS-CoV-2 and arrhythmogenesis: a literature review. SARS-CoV-2 与心律失常发生之间的病理生理学关联：文献综述。

IF 1.7

GERMS Pub Date : 2024-03-31 eCollection Date: 2024-03-01 DOI: 10.18683/germs.2024.1418

Maria Alexandra Junghetu, Elena Bălăşescu, Laurenţiu Mihăiţă Stratan, Daniela Adriana Ion

{"title":"Pathophysiological correlations between SARS-CoV-2 and arrhythmogenesis: a literature review.","authors":"Maria Alexandra Junghetu, Elena Bălăşescu, Laurenţiu Mihăiţă Stratan, Daniela Adriana Ion","doi":"10.18683/germs.2024.1418","DOIUrl":"10.18683/germs.2024.1418","url":null,"abstract":"Introduction: SARS-CoV-2 represents one of the most extensively researched pathogens in the last decade due to its major impact on humanity. Not only does this viral infection cause respiratory disturbances, but it also generates cardiovascular injury. Cardiac arrhythmias represent one of the main consequences of SARS-CoV-2 infection, but they can also occur in the context of antiviral treatment. Furthermore, arrhythmias do not always seem to be correlated with the severity of the lung injury. However, they represent a poor prognostic factor in terms of mortality, increasing the need for intensive care and the length of hospitalization.Methods: In accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 Statement, from September 2022 to October 2023, we conducted this study by examining the literature through the PubMed database using the following keywords: COVID-19, cardiac arrhythmias, and, in terms of study design, observational studies.Results: We initially identified 266 studies across PubMed. After applying the inclusion/exclusion criteria, we managed to include 22 studies in our review.Conclusions: Deducing the pathophysiological mechanisms behind SARS-CoV-2's ability to disrupt the electrical activity of the heart, as well as identifying associated risk factors in patients with SARS-CoV-2 infection, could allow targeted therapeutic interventions to decrease the risk of mortality in hospitalized patients.","PeriodicalId":45107,"journal":{"name":"GERMS","volume":"14 1","pages":"63-76"},"PeriodicalIF":1.7,"publicationDate":"2024-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11333842/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142019074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Detection of resistance integrons among biofilm and non-biofilm producing clinical isolates of Pseudomonas aeruginosa. 在产生生物膜和不产生生物膜的铜绿假单胞菌临床分离株中检测抗性整合子。

IF 1.7

GERMS Pub Date : 2024-03-31 eCollection Date: 2024-03-01 DOI: 10.18683/germs.2024.1413

Amira M Sultan, Noha Mostafa Mahmoud

{"title":"Detection of resistance integrons among biofilm and non-biofilm producing clinical isolates of Pseudomonas aeruginosa.","authors":"Amira M Sultan, Noha Mostafa Mahmoud","doi":"10.18683/germs.2024.1413","DOIUrl":"10.18683/germs.2024.1413","url":null,"abstract":"Introduction: Integrons are genetic systems that may confer antibiotic resistance to Pseudomonas aeruginosa. Biofilm formation can facilitate gene exchange and can accelerate the development of antibiotic resistance. The aim of this work was to assess the distribution of resistance integrons including class 1, 2 and 3 among biofilm- and non-biofilm producing clinical strains of P. aeruginosa. We also aimed to investigate the relationship between the existence of these integrons and the isolates' resistance patterns.Methods: Specimens were obtained from patients showing evidence of infection. P. aeruginosa isolates were identified using conventional techniques, while disk diffusion test was used to detect their antimicrobial susceptibilities. Biofilm formation was detected by the tissue culture plate technique, while classes of integrons were detected by polymerase chain reaction.Results: Out of 106 P. aeruginosa isolates, 55.7% were class 1 integron-positive while 19.8% were class 2 integron-positive. However, class 3 integrons were not detected. Significant associations were found between class 1 integrons and resistance toward amikacin, gentamicin, cefepime, ceftazidime and ciprofloxacin. Class 2 integrons were associated with amikacin, ceftazidime and cefepime resistance. Of pseudomonal isolates, 61.3% were biofilm producing. Biofilm production was associated significantly with the existence of class 1 integrons (p<0.001) and class 2 integrons (p=0.039).Conclusions: About two thirds of isolated strains harbored resistance integrons, which emphasized their significance in our locality. The frequencies of class 1 and 2 integrons were significantly higher among biofilm forming isolates. Ongoing surveillance and infection control strategies are necessary to limit spread of integrons.","PeriodicalId":45107,"journal":{"name":"GERMS","volume":"14 1","pages":"11-19"},"PeriodicalIF":1.7,"publicationDate":"2024-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11333839/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142019030","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Epidemiology of Pseudomonas aeruginosa in diabetic foot infections: a global systematic review and meta-analysis. 糖尿病足感染中铜绿假单胞菌的流行病学：全球系统回顾和荟萃分析。

IF 2

GERMS Pub Date : 2023-12-31 eCollection Date: 2023-12-01 DOI: 10.18683/germs.2023.1406

Mitra Garousi, Sina MonazamiTabar, Hosein Mirazi, Zahra Farrokhi, Azad Khaledi, Ali Shakerimoghaddam

{"title":"Epidemiology of Pseudomonas aeruginosa in diabetic foot infections: a global systematic review and meta-analysis.","authors":"Mitra Garousi, Sina MonazamiTabar, Hosein Mirazi, Zahra Farrokhi, Azad Khaledi, Ali Shakerimoghaddam","doi":"10.18683/germs.2023.1406","DOIUrl":"10.18683/germs.2023.1406","url":null,"abstract":"Pseudomonas aeruginosa is one of the most common causes of diabetic foot infection globally. This study aimed to determine the global distribution of P. aeruginosa isolated from diabetic foot ulcer infection. PRISMA procedure was used to perform the current systematic review and meta-analysis. The Web of Science, MEDLINE/PubMed, Scopus, and other databases were searched for studies published in English from 2000 to 2022. Data was analyzed using the Comprehensive Meta-Analysis software (CMA). Keywords and MESH phrases included Pseudomonas aeruginosa, diabetic foot ulcer, P. aeruginosa, and diabetic foot infection. As a result of this review, 16.6% of diabetic foot wound infections were caused by P. aeruginosa. About 37.9% of strains were multidrug resistant (MDR). P. aeruginosa infection rates in diabetic foot ulcers ranged from 0.5 to 100% globally. In total, the prevalence rates of P. aeruginosa in diabetic foot ulcer infection from Asia, Africa, and Western countries were reported at 18.5%, 16.3%, and 11.1%, respectively. Data have shown that the prevalence of P. aeruginosa, particularly MDR strains, isolated from diabetic foot ulcer infection was relatively high; inherent resistance to antibiotics is also high; the wound either does not heal or if it does, it will be delayed. Therefore, timely treatment is essential.","PeriodicalId":45107,"journal":{"name":"GERMS","volume":"13 4","pages":"362-372"},"PeriodicalIF":2.0,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10866166/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139742279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hydropneumothorax as a complication of necrotizing pneumonia. 作为坏死性肺炎并发症的水肺气胸。

IF 2

GERMS Pub Date : 2023-12-31 eCollection Date: 2023-12-01 DOI: 10.18683/germs.2023.1402

Andria Papazachariou, Eleni Papadokostaki, Despoina Kypraiou, Vironas Malikides, Ioanna Papakitsou, Theodosios D Filippatos, Petros Ioannou, Diamantis P Kofteridis

引用次数: 0

Acinetobacter baumannii: a known pathogen, a new problem. 鲍曼不动杆菌：已知病原体，新问题。

IF 2

GERMS Pub Date : 2023-12-31 eCollection Date: 2023-12-01 DOI: 10.18683/germs.2023.1408

Ricardo Campos Monteiro, Rogerio Caldeira Rodrigues Malta, Geovana Lacerda Rodrigues, Gustavo Luis de Paiva Anciens Ramos, Janaína Dos Santos Nascimento

引用次数: 0

Effect of dexamethasone and tenoxicam on the virulence activities of different Pseudomonas aeruginosa clinical isolates. 地塞米松和替诺昔康对不同铜绿假单胞菌临床分离株毒力活性的影响

IF 2

GERMS Pub Date : 2023-12-31 eCollection Date: 2023-12-01 DOI: 10.18683/germs.2023.1401

Heba E AboElfarh, El-Sayed E Habib, Mohamed M A El-Sokkary

{"title":"Effect of dexamethasone and tenoxicam on the virulence activities of different Pseudomonas aeruginosa clinical isolates.","authors":"Heba E AboElfarh, El-Sayed E Habib, Mohamed M A El-Sokkary","doi":"10.18683/germs.2023.1401","DOIUrl":"10.18683/germs.2023.1401","url":null,"abstract":"Introduction: This study aimed to examine the effect of commonly used non-antibiotic drugs (dexamethasone and tenoxicam), on treatment of Pseudomonas aeruginosa infections, antibiotic resistance and virulence in this pathogen.Methods: Four antibiotics (gentamicin, cefepime, ciprofloxacin and meropenem) were investigated. The proteolysis and hemolysis were selected as virulence factors for investigation. In this work, we selected the following final concentrations: dexamethasone (0.0052 μg/mL) and tenoxicam (2.7 μg/mL) to be used in combination with antibiotics or alone for investigation of their effects on antibiotic resistance and virulence in P. aeruginosa isolates.Results: The drugs either increased or decreased antibiotic resistance in only 0-3 isolates, which indicates that the investigated drugs did not significantly affect the antibiotic resistance. Interestingly, our study demonstrated that both dexamethasone and tenoxicam increased the hemolytic activity of the investigated isolates. On the other hand, our results indicated that no overall final increasing or decreasing effect could be observed for dexamethasone on the proteolytic activity, while tenoxicam increased the proteolytic activity of the investigated isolates. Interestingly, by real-time PCR dexamethasone has shown significant down-regulation of virulence genes namely algD, plcH and toxA, apparently, in case of combination with ciprofloxacin and with gentamicin in one isolate. However, a negative influence was observed in another isolate. Unfortunately, in the case of tenoxicam the only positive effect was observed in the combination with gentamicin in one isolate.Conclusions: Resistance of P. aeruginosa against gentamicin and ciprofloxacin may be affected by combining these antibiotics with dexamethasone or tenoxicam.","PeriodicalId":45107,"journal":{"name":"GERMS","volume":"13 4","pages":"321-331"},"PeriodicalIF":2.0,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10866164/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139742224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0