Nosocomial Fungal Infections

Suleyman, Geehan; Alangaden, George

doi:10.1016/j.idc.2016.07.008

Cited by 128 publications

(64 citation statements)

References 116 publications

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“…It has been found that the biofilm synthesis due to these bacteria on a plastic medium was stimulated by iron deficiency in surrounding conditions imposed by the iron chelator 2,2′-dipyridyl (DIP) [19]. Hence, it was reported that the iron is needed for the biofilm mode of growth of A. baumannii [3]. …”

Section: Discussionmentioning

confidence: 99%

“…The presence of iron predisposes thalassemic patients to bacterial infections [3]. A. baumannii sequesters iron by iron carriers and stores bound with host's proteins; and thus, it can combat decreased level of iron in blood [27].…”

Section: Discussionmentioning

confidence: 99%

“…Nosocomial infections are mainly received through sinks, shower units, infusion pumps, resuscitation apparatuses, and fomites, such as pillows, mattresses, and sinks. Hospital water systems have often been recognized as a source of nosocomial infection principally among the patients, who are immunocompromised in critical care units [3]. Furthermore, it is also identified as the etiological factor for the blood infections in patients in critical condition [4–6].…”

Section: Introductionmentioning

confidence: 99%

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Acinetobacter baumannii Infection in Transfusion Dependent Thalassemia Patients with Sepsis

Rasheed

Alzahrani

Shaikh

2017

BioMed Research International

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Purpose To identify the Acinetobacter baumannii infection among transfusion dependent thalassemia patients. Methods A quantitative approach was employed to assess Acinetobacter baumannii infection in transfusion dependent thalassemia patients. Samples were collected from 916 patients, which have shown bacterial growth on MacConkey and blood agar culture media. A. baumannii strains were identified by microbiological methods and Gram's staining. API 20 E kit (Biomerieux, USA) was used for final identification. Results From 916 cultured blood specimens, 107 (11.6%) showed growth of A. baumannii. Serum ferritin in thalassemic patients without bacterial infections was 3849.5 ± 1513.5 µg/L versus 6413.5 ± 2103.9 µg/L in those with bacterial infections (p = 0.0001). Acinetobacter baumannii infected patients have shown higher serum ferritin levels (p = 0.0001). Serum ferritin in thalassemic patients was 3849.5 ± 1513.5 µg/L versus 6413.5 ± 2103.9 µg/L in those with bacterial infections (p = 0.0001). Acinetobacter baumannii infected patients showed high serum ferritin levels (p = 0.0001). The clinical symptoms have been found with A. baumannii +ve with a mean and standard deviation of 47 (5.1%) and A. baumannii −ve with mean and standard deviation of 60 (6.5%). Conclusion Isolation of asymptomatic A. baumannii from the thalassemia patients shows an alarming situation of bacterial infections. A continuous surveillance of transfusion dependent thalassemia patients is recommended for bacterial sepsis.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Acinetobacter baumannii Infection in Transfusion Dependent Thalassemia Patients with Sepsis

Rasheed

Alzahrani

Shaikh

2017

BioMed Research International

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“…Surveillance of antibiotic resistance and nosocomial infections is a major function in a hospital infection control program [1, 2]. Nosocomial surveillance was based on ward visits, medical charts reviews, and paper based reports [3, 4].…”

Section: Introductionmentioning

confidence: 99%

Improving Prediction Accuracy of “Central Line-Associated Blood Stream Infections” Using Data Mining Models

Noaman

Nadeem

Ragab

et al. 2017

BioMed Research International

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Prediction of nosocomial infections among patients is an important part of clinical surveillance programs to enable the related personnel to take preventive actions in advance. Designing a clinical surveillance program with capability of predicting nosocomial infections is a challenging task due to several reasons, including high dimensionality of medical data, heterogenous data representation, and special knowledge required to extract patterns for prediction. In this paper, we present details of six data mining methods implemented using cross industry standard process for data mining to predict central line-associated blood stream infections. For our study, we selected datasets of healthcare-associated infections from US National Healthcare Safety Network and consumer survey data from Hospital Consumer Assessment of Healthcare Providers and Systems. Our experiments show that central line-associated blood stream infections (CLABSIs) can be successfully predicted using AdaBoost method with an accuracy up to 89.7%. This will help in implementing effective clinical surveillance programs for infection control, as well as improving the accuracy detection of CLABSIs. Also, this reduces patients' hospital stay cost and maintains patients' safety.

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“…Niniejszy artykuł jest próbą przedstawienia bieżącej epidemiologii zakażeń grzybiczych w opiece zdrowotnej. Większość prac opisujących zakażenia szpitalne wywołane przez grzyby przedstawia je z perspektywy patogenów, a więc są omawiane poszczególne rodzaje i gatunki jako czynniki etiologiczne zakażeń szpitalnych [5,6]. W tej pracy przedstawiono grzybice według podziału na kategorie zakażeń szpitalnych przyjęte przez Europejskie Centrum Zapobiegania i Kontroli Chorób (European Centre for Disease Prevention and Control -ECDC).…”

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Fungi as causative agents of healthcare-associated infections

Krzyściak¹,

Medicum²,

Skóra³

2019

Medicine

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STRESZCZENIE:W artykule przedstawiono problem grzybiczych zakażeń szpitalnych. Na podstawie danych zawartych w dostępnym piśmiennictwie przedstawiono bieżącą epidemiologię grzybic związanych z opieką zdrowotną, uwzględniając podział na kategorie zakażeń szpitalnych, przyjęty przez Europejskie Centrum Zapobiegania i Kontroli Chorób (ECDC). ABSTRACT:The problem of fungal hospital-acquired infections was discussed. On the basis of the available literature data, current epidemiology of fungal nosocomial infections according to the European Center for Disease Prevention and Control (ECDC) classification was presented.

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Nosocomial Fungal Infections

Cited by 128 publications

References 116 publications

Acinetobacter baumannii Infection in Transfusion Dependent Thalassemia Patients with Sepsis

Acinetobacter baumannii Infection in Transfusion Dependent Thalassemia Patients with Sepsis

Improving Prediction Accuracy of “Central Line-Associated Blood Stream Infections” Using Data Mining Models

Fungi as causative agents of healthcare-associated infections

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