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1.
Clin Linguist Phon ; : 1-19, 2023 Jan 02.
Article in English | MEDLINE | ID: covidwho-2166023

ABSTRACT

To study the possibility of using acoustic parameters, i.e., Acoustic Voice Quality Index (AVQI) and Maximum Phonation Time (MPT) for predicting the degree of lung involvement in COVID-19 patients. This cross-sectional case-control study was conducted on the voice samples collected from 163 healthy individuals and 181 patients with COVID-19. Each participant produced a sustained vowel/a/, and a phonetically balanced Persian text containing 36 syllables. AVQI and MPT were measured using Praat scripts. Each patient underwent a non-enhanced chest computed tomographic scan and the Total Opacity score was rated to assess the degree of lung involvement. The results revealed significant differences between patients with COVID-19 and healthy individuals in terms of AVQI and MPT. A significant difference was also observed between male and female participants in AVQI and MPT. The results from the receiver operating characteristic curve analysis and area under the curve indicated that MPT (0.909) had higher diagnostic accuracy than AVQI (0.771). A significant relationship was observed between AVQI and TO scores. In the case of MPT, however, no such relationship was observed. The findings indicated that MPT was a better classifier in differentiating patients from healthy individuals, in comparison with AVQI. The results also showed that AVQI can be used as a predictor of the degree of patients' and recovered individuals' lung involvement. A formula is suggested for calculating the degree of lung involvement using AVQI.

2.
Acta Medica Iranica ; 60(2):132-134, 2022.
Article in French | ProQuest Central | ID: covidwho-1761396

ABSTRACT

Ever since the new coronavirus has become the cause of the COVID-19 pandemic, it has manifested with unknown and new presentations. In this report, we are presenting a 46-year-old female infected with COVID-19 (confirmed by RT-PCR nasal swab test) and a known case of Diabetes mellites type 2 who had a history of ICU admission due to COVID-19 with uncontrolled diabetes mellites. In the second admission after recovery, she had blurred vision. Fundus examination revealed multiple yellow-white well-demarcated nonpigmented masses. Diagnosis of the multiple subretinal abscesses was confirmed. KOH-Calcofluor staining of vitreous fluid was negative for fungal infections of the eye. No polymorphonuclear leukocytes (PMN), epithelial cells nor any organisms were detected. The patient was treated with an injection of the intravitreal Amphotericin B 10 µg/0.1cc. To our knowledge, the presented case is the first case of the subretinal abscess after covid-19 infection.

3.
Iran J Allergy Asthma Immunol ; 19(6): 557-569, 2020 Dec 19.
Article in English | MEDLINE | ID: covidwho-1068114

ABSTRACT

Several reports have determined that changes in white blood cell counts and inflammatory biomarkers are related to disease outcome of coronavirus disease 2019 (COVID-19) and they can be utilized as prognostic biomarkers. For introducing a factor as a diagnostic/prognostic biomarker, diagnostic test accuracy (DTA) systematic review and meta-analysis are recommended. For the first time, we aimed to determine the accuracies of white blood cell counts and inflammatory biomarkers for prognosis of COVID-19 patient's outcome by a DTA meta-analysis. Until August24, 2020, we searched Web of Sciences, Scopus, and MEDLINE/PubMed databases to achieve related papers. Summary points and lines of included studies were calculated from 2×2 tables by bivariate/hierarchical models. Critical condition and mortality were considered as outcomes. A total of 13387 patients from 28 studies were included in this study. Six biomarkers containing leukocytosis, neutrophilia, lymphopenia, increased level of C-reactive protein, procalcitonin (PCT), and ferritin met the inclusion criteria. Analysis of the area under the curve (AUCHSROC) indicated that the PCT was the only applicable prognostic biomarker for critical condition and mortality (AUCHSROC=0.80 for both conditions). Pooled-diagnostic odds ratios were 6.78 (95% CI, 3.65-12.61) for prognosis of critical condition and 13.21 (95% CI, 3.95-44.19) for mortality. Other biomarkers had insufficient accuracies for both conditions (AUCHSROC< 0.80). Among evaluated biomarkers, only PCT has good accuracy for the prognosis of both critical condition and mortality in COVID-19 and it can be considered as a single prognostic biomarker for poor outcomes. Also, PCT has more accuracy for the prognosis of mortality in comparison to critical condition.


Subject(s)
COVID-19/blood , COVID-19/mortality , Procalcitonin/blood , Area Under Curve , C-Reactive Protein/metabolism , COVID-19/physiopathology , Critical Illness , Ferritins/blood , Humans , Hyperferritinemia/blood , Leukocytosis/blood , Lymphopenia/blood , Neutrophils , Prognosis , ROC Curve , SARS-CoV-2 , Severity of Illness Index
4.
J Control Release ; 328: 776-791, 2020 12 10.
Article in English | MEDLINE | ID: covidwho-753326

ABSTRACT

Over the past decade, the growing interest in targeted lung cancer therapy has guided researchers toward the cutting edge of controlled drug delivery, particularly magnetic particle targeting. Targeting of tissues by magnetic particles has tackled several limitations of traditional drug delivery methods for both cancer detection (e.g., using magnetic resonance imaging) and therapy. Delivery of magnetic particles offers the key advantage of high efficiency in the local deposition of drugs in the target tissue with the least harmful effect on other healthy tissues. This review first overviews clinical aspects of lung morphology and pathogenesis as well as clinical features of lung cancer. It is followed by reviewing the advances in using magnetic particles for diagnosis and therapy of lung cancers: (i) a combination of magnetic particle targeting with MRI imaging for diagnosis and screening of lung cancers, (ii) magnetic drug targeting (MDT) through either intravenous injection and pulmonary delivery for lung cancer therapy, and (iii) computational simulations that models new and effective approaches for magnetic particle drug delivery to the lung, all supporting improved lung cancer treatment. The review further discusses future opportunities to improve the clinical performance of MDT for diagnosis and treatment of lung cancer and highlights clinical therapy application of the MDT as a new horizon to cure with minimal side effects a wide variety of lung diseases and possibly other acute respiratory syndromes (COVID-19, MERS, and SARS).


Subject(s)
Antineoplastic Agents/administration & dosage , Drug Carriers/chemistry , Drug Delivery Systems/methods , Lung Neoplasms , Magnets/chemistry , Nanoparticles/chemistry , Antineoplastic Agents/therapeutic use , Drug Carriers/administration & dosage , Humans , Lung Neoplasms/diagnostic imaging , Lung Neoplasms/drug therapy , Lung Neoplasms/pathology , Magnetic Resonance Imaging , Molecular Targeted Therapy , Nanoparticles/administration & dosage
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