Invasive fungal infection of the brain caused by Neoscytalidium dimidiatum in a post-renal transplant patient: A case report

Alamri, Maha; Alghamdi, Hanan M.; Althawadi, Sahar; Mutabaggani, Maysoon; Dababo, Mohammad Anas; Al-Ajlan, Fahad S.; Alzayer, Maha; Doumith, Michel; Alghoribi, Majed F.; Almaghrabi, Reem S.

doi:10.1016/j.mmcr.2021.09.001

Cited by 5 publications

(2 citation statements)

References 20 publications

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“…As a result, infection has become the leading non-cancer cause of death in cancer patients [5,6] The clinical features, microbiological distribution, and prognostic factors of nosocomial infections caused by bacteria are well documented [1,2,[7][8][9][10][11] . Most importantly, relevant guidelines are also published to guide the diagnosing and treatment of nosocomial infections caused by bacteria in patients with malignancy [12][13][14] . Unlike bacterial pathogens, fungi usually do not produce endotoxins and exotoxins.…”

Section: Introductionmentioning

confidence: 99%

Establishment of a risk classifier to predict the in-hospital death risk of nosocomial infections caused by fungi in cancer patients

Wang

Jiang

Zhang

et al. 2023

Preprint

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(1) Background: Patients with malignancy are more vulnerable to developing nosocomial infections. Limited studies investigated cancer patients' clinical features and prognostic factors of fungi infections. Herein, this study was performed to explore the clinical characteristics of nosocomial infections due to fungi and develop a nomogram to predict the in-hospital death risk of these patients. (2) Methods: This retrospective observational study analyzed cancer patients with nosocomial infections caused by fungi from September 2013 to September 2021. The univariate and multivariate logistics regression analyses were utilized to identify the influencing factors of in-hospital death risk of nosocomial infections caused by fungi. A nomogram was developed to predict the in-hospital death risk of these individuals, with the receiver operating characteristics curve (ROC), calibration curve, and decision curve being generated to evaluate its performance. (3) Results: 216 patients with solid tumors developed fungal infections during hospitalization, of which 57 experienced in-hospital death. C.albicans is the most common fungal species(68.0%). The respiratory system was the most common site of infection(59.0%), followed by intra-abdominal infection (8.8%). The multivariate regression analysis revealed that ECOG-PS 3–4, pulmonary metastases, thrombocytopenia, hypoalbuminemia, and mechanical ventilation were independent risk factors of in-hospital death risk. A nomogram was constructed based on the identified risk factors to predict the in-hospital death risk of these patients. (4) Conclusions: Fungi-related nosocomial infections are common in solid tumors and have a bleak prognosis. The constructed nomogram could help oncologists make a timely and appropriate clinical decision with significant net clinical benefit to patients.

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Section: Introductionmentioning

confidence: 99%

Establishment of a risk classifier to predict the in-hospital death risk of nosocomial infections caused by fungi in cancer patients

Wang

Jiang

Zhang

et al. 2023

Preprint

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show abstract

“…In recent decades, the clinical features, microbiological distribution, and prognostic factors of in-hospital bacterial infections have been well documented [ 1 , 2 , 7 – 11 ]. Furthermore, pertinent guidelines have been published to provide guidance on managing bacterial infections acquired during hospitalization in this particular population [ 12 – 14 ]. It is worth noting that recent studies have highlighted the significant role of fungi as the primary causative pathogens of nosocomial infections in cancer patients [ 15 – 17 ].…”

Section: Introductionmentioning

confidence: 99%

Establishment of a risk classifier to predict the in-hospital death risk of nosocomial fungal infections in cancer patients

Wang

Jiang

Zhang³

et al. 2023

BMC Infect Dis

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Background Patients with malignancy are at a higher risk of developing nosocomial infections. However, limited studies investigated the clinical features and prognostic factors of nosocomial infections due to fungi in cancer patients. Herein, this study aims to investigate the clinical characteristics of in-hospital fungal infections and develop a nomogram to predict the risk of in-hospital death during fungal infection of hospitalized cancer patients. Methods This retrospective observational study enrolled cancer patients who experienced in-hospital fungal infections between September 2013 and September 2021. Univariate and multivariate logistic regression analyses were performed to identify independent predictors of in-hospital mortality. Variables demonstrating significant statistical differences in the multivariate analysis were utilized to construct a nomogram for personalized prediction of in-hospital death risk associated with nosocomial fungal infections. The predictive performance of the nomogram was evaluated using receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis. Results A total of 216 participants were included in the study, of which 57 experienced in-hospital death. C.albicans was identified as the most prevalent fungal species (68.0%). Respiratory infection accounted for the highest proportion of fungal infections (59.0%), followed by intra-abdominal infection (8.8%). The multivariate regression analysis revealed that Eastern Cooperative Oncology Group Performance Status (ECOG-PS) 3–4 (odds ratio [OR] = 6.08, 95% confidence interval [CI]: 2.04–18.12), pulmonary metastases (OR = 2.76, 95%CI: 1.11–6.85), thrombocytopenia (OR = 2.58, 95%CI: 1.21–5.47), hypoalbuminemia (OR = 2.44, 95%CI: 1.22–4.90), and mechanical ventilation (OR = 2.64, 95%CI: 1.03–6.73) were independent risk factors of in-hospital death. A nomogram based on the identified risk factors was developed to predict the individual probability of in-hospital mortality. The nomogram demonstrated satisfactory performance in terms of classification ability (area under the curve [AUC]: 0.759), calibration ability, and net clinical benefit. Conclusions Fungi-related nosocomial infections are prevalent among cancer patients and are associated with poor prognosis. The constructed nomogram provides an invaluable tool for oncologists, enabling them to make timely and informed clinical decisions that offer substantial net clinical benefit to patients.

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Identification and pathogenicity of Lasiodiplodia and Neoscytalidium species associated with mango (Mangifera indica) dieback disease in Israel

Sharma,

Elazar,

Maymon

et al. 2024

Phytoparasitica

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Invasive fungal infection of the brain caused by Neoscytalidium dimidiatum in a post-renal transplant patient: A case report

Cited by 5 publications

References 20 publications

Establishment of a risk classifier to predict the in-hospital death risk of nosocomial infections caused by fungi in cancer patients

Establishment of a risk classifier to predict the in-hospital death risk of nosocomial infections caused by fungi in cancer patients

Establishment of a risk classifier to predict the in-hospital death risk of nosocomial fungal infections in cancer patients

Identification and pathogenicity of Lasiodiplodia and Neoscytalidium species associated with mango (Mangifera indica) dieback disease in Israel

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