Melioidosis: a multiple disease imposter

Rajendran, Manimaran; Anand, Sumit; Aravind, K L

doi:10.18203/2320-6012.ijrms20183287

Cited by 3 publications

(5 citation statements)

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“…The hazard ratios of dying from melioidosis in patients with intermediate and high urea levels were 2.69 and 2.92, respectively. The results were similar to several studies that reported the association between elevated urea toward mortality from melioidosis [31,34,35] . Kirby et al (2018) stated that the risk factors of mortality from melioidosis were platelets, serum urea, age, bilirubin, and bicarbonate.…”

Section: Discussionsupporting

confidence: 88%

“…The results were similar to several studies that reported the association between elevated urea toward mortality from melioidosis. [ 31 , 34 , 35 ] Kirby et al (2018) stated that the risk factors of mortality from melioidosis were platelets, serum urea, age, bilirubin, and bicarbonate. The high serum urea value level was 1 indicator of organ failure, predominantly renal dysfunction.…”

Section: Discussionmentioning

confidence: 99%

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The Cox model of predicting mortality among melioidosis patients in Northern Malaysia

et al. 2021

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Melioidosis is an infectious disease that is initiated by a bacteria recognized as Burkholderia pseudomallei . Despite the high fatality rate from melioidosis, there is a minimal published study about the disease in Malaysia. This study aimed to identify the prognostic factors of mortality among melioidosis patients in northern Malaysia. All inpatient patients who were admitted to Hospital Sultanah Bahiyah, Kedah and Hospital Tuanku Fauziah, Perlis with culture-confirmed melioidosis during the period 2014 to 2017 were included in the study. The study retrospectively collected 510 melioidosis patients from the Melioidosis Registry. Hazard ratio (HR) used in advanced multiple Cox regression was used to obtain the final model of prognostic factors of melioidosis. The analysis was performed using STATA/SE 14.0 for Windows software. From the results, among the admitted patients, 50.1% died at the hospital. The mean age for those who died was 55 years old, and they were mostly male. The most common underlying disease was diabetes mellitus (69.8%), followed by hypertension (32.7%). The majority of cases (86.8%) were bacteremic. The final Cox model identified 5 prognostic factors of mortality among melioidosis patients. The factors were diabetes mellitus, type of melioidosis, platelet count, white blood cell count, and urea value. The results showed that bacteremic melioidosis increased the risk of dying by 3.47 (HR: 3.47, 95% confidence intervals [CI]: 1.67–7.23, P = .001) compared to non-bacteremic melioidosis. Based on the blood investigations, the adjusted HRs from the final model showed that all 3 blood investigations were included as the prognostic factors for the disease (low platelet: HR = 1.76, 95% CI: 1.22–2.54, P = .003; high white blood cell: HR = 1.49, 95% CI 1.06–2.11, P = .023; high urea: HR = 2.92, 95% CI: 1.76–4.85, P < .001; and low level of urea: HR = 2.69, 95% CI: 1.69–4.29, P < .001). By contrast, melioidosis patients with diabetic had 30.0% lower risk of dying from melioidosis compared to those with non-diabetic (HR = 0.70, 95% CI: 0.52–0.94, P = .016). Identifying the prognostic factors of mortality in patients with melioidosis allows a guideline of early management in these patients, which may improve patient's survival.

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Section: Discussionsupporting

confidence: 88%

Section: Discussionmentioning

confidence: 99%

The Cox model of predicting mortality among melioidosis patients in Northern Malaysia

et al. 2021

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“…The absorbance peak of Fe 3 O 4 /MWCNT was observed at 428.5 nm, which is similar to the previously reported absorbance peak of Fe 3 O 4 [35,36] . This absorbance peak can be attributed to the surface plasma resonance band in the Fe 3 O 4 nanoparticle [37] . This evidence further confirms the formation of Fe 3 O 4 in the nanocomposite.…”

Section: Resultssupporting

confidence: 88%

“…[35,36] This absorbance peak can be attributed to the surface plasma resonance band in the Fe 3 O 4 nanoparticle. [37] This evidence further confirms the formation of Fe 3 O 4 in the nanocomposite.…”

Section: Formation Mechanismsupporting

confidence: 67%

A Facile Route Preparation of Fe₃O₄/MWCNT/ZnO/PANI Nanocomposite and its Characterization for Enhanced Microwave Absorption Properties

Prima Hardianto,

Nur Iman,

Hidayat

et al. 2024

ChemistrySelect

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With increasing concerns regarding the potential health risks associated with microwave‐based technology, researchers have been actively investigating materials with impressive microwave absorption properties. In this study, a synthesis and investigation of a nanocomposite, named Fe3O4/MWCNT/ZnO/PANI, consisting of magnetite (Fe3O4), multi‐walled carbon nanotube (MWCNT), zinc oxide (ZnO), and polyaniline (PANI) as a microwave‐absorbing material, was carried out for the first time. The nanocomposite was prepared through a simple physical mixing approach and demonstrated tunable microwave absorption, making it highly suitable for shielding applications. Structural analysis techniques, including X‐ray diffraction (XRD), Fourier‐transform infrared spectroscopy (FTIR), and scanning electron microscopy with energy‐dispersive X‐ray analysis (SEM‐EDAX), confirmed the presence of all components in the nanocomposite. Moreover, ultraviolet‐visible spectroscopy (UV‐Vis) further verified the formation of nanocomposite components and revealed an adjustable optical bandgap ranging from 2.86 to 3.34 eV. Impressively, the nanocomposite exhibited promising microwave absorption properties, with a minimum reflection loss (RL) of −32.66 dB for the nanocomposite containing 37.50 % PANI by weight, and a maximum electromagnetic bandwidth (EB) of 2.26 GHz for the nanocomposite containing 44.44 % PANI by weight, indicating its potential as an effective shielding material. Furthermore, a modified theory combining transmission line, Landau‐Lifshits, and Drude‐Lorentz theories was introduced to extract complex relative permittivity and permeability, providing insights into the role of polyaniline in enhancing the microwave absorption properties of the nanocomposite as measured by reflection loss (RL).

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“…The result demonstrating that increased one mmol/L of urea will increase the risk of dying from melioidosis. Several studies outside Malaysia showed a significant correlation between elevated urea and mortality among melioidosis patients (Cheng et al, 2003;Kirby et al, 2019;Rajendran et al, 2018). Other than that, platelet count was also one of the prognostic factors of mortality from melioidosis in Mardhiah et al (2021a).…”

Section: Resultsmentioning

confidence: 95%

An overview of the study designs and statistical methods used in the determination of predictors of melioidosis mortality in Malaysia: 2010-2021

Mardhiah,

Nursyahiyatul-Anis

2024

PEDAGOGICAL RES

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Background: In Malaysia, the mortality from melioidosis infection was reported to be higher than in other infectious diseases. The research on melioidosis is still limited in Malaysia but slightly increasing. Objectives: The objective of the study was to give an overview of the study designs, statistical methods, and comparison of research in identifying the predictors of melioidosis mortality in Malaysia between January 2010 to December 2021. Data sources: Pubmed/Medline. Study eligibility criteria: Original English-language articles were abstracted. The articles that identified the predictors of melioidosis from mortality in Malaysia only included. Letters to the editor, editorials, reviews, systematic reviews, meta-analysis, case reports, and any other ineligible articles were excluded. Results: A total of eight studies were identified related to predictors of melioidosis mortality in Malaysia. From the selected articles, 87.5% were retrospectively collected. Five out of eight articles (62.5%) used the logistic regression in identifying the predictors of melioidosis mortality. Only one (12.5%) used advanced survival analysis methods of Cox regression analysis. Another 25.0% used Chi-square test. Conclusions: Logistic regression methods remain the most common methods of analysis in publications on predictors of melioidosis mortality in Malaysia while retrospective research designs are preferred. There is a limitation of research in predictors of melioidosis mortality and the use of advanced statistical techniques reported using the melioidosis data in Malaysia. More published research on melioidosis will provide input to the clinicians on a more detailed understanding of how to improve the diagnosis of melioidosis and the prognosis factors of this disease.

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Melioidosis: a multiple disease imposter

Cited by 3 publications

References 7 publications

The Cox model of predicting mortality among melioidosis patients in Northern Malaysia

The Cox model of predicting mortality among melioidosis patients in Northern Malaysia

A Facile Route Preparation of Fe₃O₄/MWCNT/ZnO/PANI Nanocomposite and its Characterization for Enhanced Microwave Absorption Properties

An overview of the study designs and statistical methods used in the determination of predictors of melioidosis mortality in Malaysia: 2010-2021

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Melioidosis: a multiple disease imposter

Cited by 3 publications

References 7 publications

The Cox model of predicting mortality among melioidosis patients in Northern Malaysia

The Cox model of predicting mortality among melioidosis patients in Northern Malaysia

A Facile Route Preparation of Fe3O4/MWCNT/ZnO/PANI Nanocomposite and its Characterization for Enhanced Microwave Absorption Properties

An overview of the study designs and statistical methods used in the determination of predictors of melioidosis mortality in Malaysia: 2010-2021

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A Facile Route Preparation of Fe₃O₄/MWCNT/ZnO/PANI Nanocomposite and its Characterization for Enhanced Microwave Absorption Properties