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In the quest to uncover biological cues that help explain organic changes brought on by an external stimulus, like stress, new technologies have become necessary. The Laser Speckle Contrast Analysis (LASCA) approach is one of these technologies that may be used to analyze biological data, including respiratory rate (RR) intervals, and then use the results to determine heart rate variability (HRV Thus, to evaluate the stress brought on by physical activity, this study used the LASCA approach. A stress induction procedure involving physical exertion was employed, and the results were compared to other established techniques (cortisol analysis and ECG signal) to verify the LASCA methodology as a tool for measuring HRV and stress. The study sample comprised 27 willing participants. The technique involving LASCA allowed for the non-invasive (non-contact) acquisition of HRV and the study of stress. Furthermore, it made it possible to gather pertinent data, such as recognizing modifications to the thermoregulation, peripheral vasomotor tonus, and renin-angiotensin-aldosterone systems that were brought on by elevated stress and, as a result, variations in HRV readings., (© 2024. The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.)

Background: Progressive disseminated histoplasmosis is a significant issue in Latin America, particularly in Brazil, contributing to high mortality rates., Objectives: Our objectives were to comprehensively describe histoplasmosis treatment with various amphotericin B (AmB) formulations, including mortality rates, adverse effects and risk factors for mortality., Methods: This multicentre retrospective cohort study (January 2014-December 2019) evaluated medical records of patients with proven or probable histoplasmosis treated with at least two doses of AmB in seven tertiary medical centres in Brazil. We assessed risk factors associated with death during hospitalization using univariate and multivariate analyses., Results: The study included 215 patients, mostly male (n = 158, 73%) with HIV infection (n = 187, 87%), and a median age of 40 years. Only 11 (5%) patients initiated treatment with liposomal amphotericin B (L-AmB). Amphotericin B deoxycholate (D-AmB) was administered to 159 (74%) patients without changes in the treatment. The overall mortality during hospitalization was 23% (50/215). Variables independently associated with mortality were use of D-AmB (OR 4.93) and hospitalization in ICU (OR 9.46). There was a high incidence of anaemia (n = 19, 90%), acute kidney injury (n = 96, 59%), hypokalaemia (n = 73, 55%) and infusion reactions (n = 44, 20%) during treatment., Conclusions: We found that D-AmB was the main formulation, which was also associated with a higher mortality rate. Lipid formulations of AmB have become more readily available in the public health system in Brazil. Further studies to evaluate the effectiveness of L-AmB will likely show improvements in the treatment outcomes for patients with disseminated histoplasmosis., (© The Author(s) 2024. Published by Oxford University Press on behalf of British Society for Antimicrobial Chemotherapy. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

Hepatic mucormycosis is a rare condition. Our objective is to report a case in a HSCT patient and to perform a review of the literature. A 36-year-old man with acute myeloid leukemia, performed a haploidentical HSCT. In D+132, when treating acute GVHD with methylprednisolone and etanercept, a hepatic abscess was diagnosed. Puncture of the abscess was performed, and fungal hyphae were visualized. The culture of the aspirate identified Mucor sp. Sequencing confirmed the isolate as Mucor indicus. The patient died despite the use of Amphotericin B. Our search identified 24 hepatic mucormycosis reports. Fifteen (62.5 %) were male and 79.1 % were immunocompromised. Fever accompanied with abdominal pain was present in 41.6 %. Twelve (50.0 %) had multiple hepatic lesions. Mortality rate was 45.8 % (n = 11/24). In conclusion, the most common clinical presentation of hepatic mucormycosis in immunocompromised patients might be abdominal pain and fever, along with hepatic abscess findings in abdominal imaging exams., Competing Interests: Declaration of competing interest All authors declare no relevant financial or no-financial interests to disclose., (Copyright © 2024 Japanese Society of Chemotherapy, Japanese Association for Infectious Diseases, and Japanese Society for Infection Prevention and Control. Published by Elsevier Ltd. All rights reserved.)

Dynamic contrast optical coherence tomography (DyC-OCT), an emerging imaging method, utilizes fluctuation patterns in OCT signals to enhance contrast, thereby enabling non-invasive label-free volumetric live cell imaging. In this mini review, we explain the core concepts behind DyC-OCT image formation and its system configurations, serving as practical guidance for future DyC-OCT users. Subsequently, we explore its applications in delivering high-quality, contrast-enhanced images of cellular morphology, as well as in monitoring changes in cellular activity/viability assay experiments., (© 2024. The Author(s).)

Antifungal stewardship is a critical component of healthcare management that focuses on optimizing the use of antifungal medications to improve patient outcomes, minimize resistance, and reduce healthcare costs.  In resource-limited settings, the prevalence of fungal infections remains a significant health concern, often exacerbated by factors such as compromised immune systems, inadequate diagnostic capabilities, and limited access to antifungal agents. This paper reviews the current state of antifungal stewardship practices in developing countries, addressing the unique socioeconomic and healthcare landscape., Competing Interests: The authors have no conflicts of interest., (© The Author(s) 2023.)

Motion artifacts, from such sources as heartbeats, respiration, or peristalsis, often degrade microscopic images or videos of live subjects. We have developed a method using circular optical coherence tomography (OCT) scans to track the transverse and axial motion of biological samples at speeds ranging from several micrometers per second to several centimeters per second. We achieve fast and high-precision measurements of the magnitude and direction of the sample's motion by adaptively controlling the circular scan pattern settings and applying interframe and intraframe analyses. These measurements are the basis of active motion compensation via feedback control for future in vivo microscopic and macroscopic imaging applications., Competing Interests: SH and CZ are inventors of a patent application submitted by Washington University in St. Louis regarding methods described in this work., (© 2023 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.)

Ovarian tissue cryopreservation has been successfully applied worldwide for fertility preservation. Correctly selecting the ovarian tissue with high follicle loading for freezing and reimplantation increases the likelihood of restoring ovarian function, but it is a challenging process. In this work, we explore the use of three-dimensional spectral-domain optical coherence tomography (SD-OCT) to identify different follicular stages, compare the identifications with H&E images, and measure the size and age-related follicular density distribution differences in mice ovaries. We use the thickness of the layers of granulosa cells to differentiate primordial and primary follicles from secondary follicles. The measured dimensions and age-related follicular distribution agree well with histological images and physiological aging. Finally, we apply attenuation coefficient map analyses to significantly improve the image contrast and the contrast-to-noise ratio (p < 0.001), facilitating follicle identification and quantification. We conclude that SD-OCT is a promising method to noninvasively evaluate ovarian follicles for ovarian tissue cryopreservation., Competing Interests: The authors declare no conflicts of interest., (© 2023 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.)

Candidemia remains a major public health challenge due to its high mortality rates, especially in developing countries. Monitoring epidemiological trends may provide insights for better clinical outcomes. This study aimed to describe trends in the epidemiology, therapeutic practices, and mortality in candidemia through a retrospective comparative analysis between two surveillance cohorts of all candidemic adults at eleven tertiary hospitals in Brazil, from 2010-2011 (Period I) versus 2017-2018 (Period II). A total of 616 cases were diagnosed, with 247 being from Period II. These patients were more likely to have three or more coexisting comorbidities [72 (29.1%) vs. 60 (16.3%), p < 0.001], had a prior history of in-hospital admissions more often [102 (40.3%) vs. 79 (21.4%), p = 0.001], and presented with candidemia earlier after admission, within 15 days (0-328) vs. 19 (0-188), p = 0.01. Echinocandins were more frequently prescribed [102 (41.3%) vs. 50 (13.6%), p = 0.001], but time to antifungal initiation [2 days (0-14) vs. 2 (0-13), p = 0.369] and CVC removal within 48 h [90/185 (48.6%) vs. 148/319 (46.4%), p = 0.644] remained unchanged. Additionally, many patients went untreated in both periods I and II [87 (23.6%) vs. 43 (17.4%), p = 0.07], respectively. Unfortunately, no improvements in mortality rates at 14 days [123 (33.6%) vs. 93 (37.7%), p = 0.343] or at 30 days [188 (51.4%) vs. 120 (48.6%), p = 0.511] were observed. In conclusion, mortality rates remain exceedingly high despite therapeutic advances, probably associated with an increase in patients' complexity and suboptimal therapeutic interventions. Management strategies should be tailored to suit epidemiological changes, expedite diagnosis to reduce the number of untreated eligible patients and guarantee early antifungal initiation and source control.

Introduction: Optimized allocation of medical resources to patients with COVID-19 has been a critical concern since the onset of the pandemic., Methods: In this retrospective cohort study, the authors used data from a Brazilian tertiary university hospital to explore predictors of Intensive Care Unit (ICU) admission and hospital mortality in patients admitted for COVID-19. Our primary aim was to create and validate prediction scores for use in hospitals and emergency departments to aid clinical decisions and resource allocation., Results: The study cohort included 3,022 participants, of whom 2,485 were admitted to the ICU; 1968 survived, and 1054 died in the hospital. From the complete cohort, 1,496 patients were randomly assigned to the derivation sample and 1,526 to the validation sample. The final scores included age, comorbidities, and baseline laboratory data. The areas under the receiver operating characteristic curves were very similar for the derivation and validation samples. Scores for ICU admission had a 75% accuracy in the validation sample, whereas scores for death had a 77% accuracy in the validation sample. The authors found that including baseline flu-like symptoms in the scores added no significant benefit to their accuracy. Furthermore, our scores were more accurate than the previously published NEWS-2 and 4C Mortality Scores., Discussion and Conclusions: The authors developed and validated prognostic scores that use readily available clinical and laboratory information to predict ICU admission and mortality in COVID-19. These scores can become valuable tools to support clinical decisions and improve the allocation of limited health resources., Competing Interests: Conflicts of interest The authors declare no conflicts of interest., (Copyright © 2023 HCFMUSP. Published by Elsevier España, S.L.U. All rights reserved.)

Maize is one of the most cultivated species and requires agrochOPemicals for nutrition and pathogen control. Fusarium verticillioides is responsible for damaging plants and stored grains. Plants naturally exposed to stresses have defense mechanisms that are triggered by chemical or biological agents, known as induced systemic resistance. In this study, the yeast Torulaspora globosa (strain CCA6S01) was evaluated as an immune response promoter in maize against F. verticillioides. The treatments started 4 days after maize emergence and consisted of control (saline solution), acetylsalicylic acid (ASA, 100 mg/L), yeast cells (1 × 105 cells/mL), or yeast metabolites (cell-free filtrates). After running the treatments, the plants were inoculated with 1 mL of a F. verticillioides suspension at a concentration of 1 × 106  spores/mL. The application of yeast cells provided similar results to ASA treatment, a known inducer of plant resistance. Yeast cells provided maize plants with fewer rot symptoms and higher activities of enzymes related to plant resistance. Thus, we concluded that T. globosa (strain CCA6S01) might be used in agriculture practice as a plant protection agent. It can help to decrease the application of fungicides in the field and maintain plant productivity under stress., (© The Author(s) 2022. Published by Oxford University Press on behalf of Applied Microbiology International.)

Chronic pulmonary aspergillosis (CPA) is divided into five subtypes. The diagnosis of CPA is complicated due to poor sensitivity of the laboratory tests. Diagnostic performance of different antigen, serological, and microbiological methods in subtypes of CPA is unknown. The purpose of this study was to evaluate the diagnostic performance in different subtypes of CPA. A total of 91 participants with CPA were included, and the study was performed at Hospital das Clínicas of University of São Paulo. Bronchoalveolar lavage galactomannan (73%, 11/15), serology by immunodiffusion test (81%, 61/75), and histology (78%, 39/50) had the best sensitivity. The counterimmunoelectrophoresis (CIE) titers had a significant statistical difference between the CPA subtypes (P < 0.001), in which the forms chronic fibrosing pulmonary aspergillosis (CFPA) and subacute invasive aspergillosis (SAIA) had higher titers: 1/64 (interquartile range [IQR]: 1/32-1/256) and 1/64 (1/32-1/128). C-reactive protein generally presented lower values (median 15 mg/L, IQR: 6-33), with higher values in SAIA and lower values for Aspergillus nodule. Overall, we found a low diagnostic sensitivity of current tests. Regarding the CPA subtypes, we did not find great differences in the performance of the tests, but it is observed that the inflammatory markers and CIE titers tend to be higher in forms of the more extensive lung parenchyma involvement, such as SAIA and CFPA.

The rhizosphere yeast Torulaspora globosa is known to produce indole acetic acid (IAA) and to solubilize minerals. Due to the prospective use of this yeast as a biostimulant for agricultural applications, this work aimed to optimize the cultural conditions for both IAA production and phosphate solubilization. For phosphate solubilization, the temperature (20, 25 and 30 °C), initial medium pH (3.0, 5.0, and 7.0), and shaker speed (without mixing, 100 rpm, 150 rpm, and 200 rpm) were considered using the one-factor-at-a-time (OFAT) design. Temperature of 25 °C, initial medium pH 7.0, and static cultures were the conditions of greatest phosphate solubilization, with 40% of the total phosphorus content solubilized from calcium phosphate (419.86 mg L -1 ) after 48 h. By using the response surface methodology, the maximum IAA production (217.73 µg mL -1 ) was obtained with the highest initial pH 7.0, the lowest nitrogen, and glucose concentrations (5 g L -1 and 10 g L -1 , respectively) and the lowest agitator speed (100 rpm). Further tests indicated that nitrogen affected significantly IAA production and the absence of nitrogen in the medium promoted higher IAA production (457 µg mL -1 ). The results obtained here may contribute to the scaling up for industrial and agricultural applications of a yeast-based product with T. globosa ., Competing Interests: Conflict of interestThe authors declare that they have no competing interests., (© King Abdulaziz City for Science and Technology 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.)

Background: Optimal COVID-19 management is still undefined. In this complicated scenario, the construction of a computational model capable of extracting information from electronic medical records, correlating signs, symptoms and medical prescriptions, could improve patient management/prognosis., Methods: The aim of this study is to investigate the correlation between drug prescriptions and outcome in patients with COVID-19. We extracted data from 3674 medical records of hospitalized patients: drug prescriptions, outcome, and demographics. The outcome evaluated was hospital outcome. We applied correlation analysis using a Logistic Regression algorithm for machine learning with Lasso and Matthews correlation coefficient., Results: We found correlations between drugs and patient outcomes (death/discharged alive). Anticoagulants, used very frequently during all phases of the disease, were associated with good prognosis only after the first week of symptoms. Antibiotics very frequently prescribed, especially early, were not correlated with outcome, suggesting that bacterial infections may not be important in determining prognosis. There were no differences between age groups., Conclusions: In conclusion, we achieved an important result in the area of Artificial Intelligence, as we were able to establish a correlation between concrete variables in a real and extremely complex environment of clinical data from COVID-19. Our results are an initial and promising contribution in decision-making and real-time environments to support resource management and forecasting prognosis of patients with COVID-19., (© 2022. The Author(s).)

Background: COVID-19 caused more than 622 thousand deaths in Brazil. The infection can be asymptomatic and cause mild symptoms, but it also can evolve into a severe disease and lead to death. It is difficult to predict which patients will develop severe disease. There are, in the literature, machine learning models capable of assisting diagnose and predicting outcomes for several diseases, but usually these models require laboratory tests and/or imaging., Methods: We conducted a observational cohort study that evaluated vital signs and measurements from patients who were admitted to Hospital das Clínicas (São Paulo, Brazil) between March 2020 and October 2021 due to COVID-19. The data was then represented as univariate and multivariate time series, that were used to train and test machine learning models capable of predicting a patient's outcome., Results: Time series-based machine learning models are capable of predicting a COVID-19 patient's outcome with up to 96% general accuracy and 81% accuracy considering only the first hospitalization day. The models can reach up to 99% sensitivity (discharge prediction) and up to 91% specificity (death prediction)., Conclusions: Results indicate that time series-based machine learning models combined with easily obtainable data can predict COVID-19 outcomes and support clinical decisions. With further research, these models can potentially help doctors diagnose other diseases., (© 2022. The Author(s).)

The present study aimed to evaluate the new heterologous fibrin biopolymer associated, or not, with photobiomodulation therapy for application in tendon injuries, considered a serious and common orthopedic problem. Thus, 84 Rattus norvegicus had partial transection of the calcaneus tendon (PTCT) and were randomly divided into: control (CG); heterologous fibrin biopolymer (HFB); photobiomodulation (PBM); heterologous fibrin biopolymer + photobiomodulation (HFB + PBM). The animals received HFB immediately after PTCT, while PBM (660 nm, 40 mW, 0.23 J) started 24 h post injury and followed every 24 h for 7, 14, and 21 days. The results of the edema volume showed that after 24 h of PTCT, there was no statistical difference among the groups. After 7, 14, and 21 days, it was observed that the treatment groups were effective in reducing edema when compared to the control. The HFB had the highest edema volume reduction after 21 days of treatment. The treatment groups did not induce tissue necrosis or infections on the histopathological analysis. Tenocyte proliferation, granulation tissue, and collagen formation were observed in the PTCT area in the HFB and HFB + PBM groups, which culminated a better repair process when compared to the CG in the 3 experimental periods. Interestingly, the PBM group revealed, in histological analysis, major tendon injury after 7 days; however, in the periods of 14 and 21 days, the PBM had a better repair process compared to the CG. In the quantification of collagen, there was no statistical difference between the groups in the 3 experimental periods. The findings suggest that the HFB and PBM treatments, isolated or associated, were effective in reducing the volume of the edema, stimulating the repair process. However, the use of HFB alone was more effective in promoting the tendon repair process. Thus, the present study consolidates previous studies of tendon repair with this new HFB. Future clinical trials will be needed to validate this proposal., (© 2021. The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.)

There is already a societal awareness of the growing impact of nanoscience and nanotechnology, with nanomaterials (with at least one dimension less than 100 nm) now incorporated in items as diverse as mobile phones, clothes or dentifrices. In the healthcare area, nanoparticles of biocompatible materials have already been used for cancer treatment or bioimaging enhancement. Nanotechnology in dentistry, or nanodentistry, has already found some developments in dental nanomaterials for caries management, restorative dentistry and orthodontic adhesives. In this review, we present state-of-the-art scientific development in nanodentistry with an emphasis on two imaging techniques exploiting nanomaterials: optical coherence tomography (OCT) and photoacoustic imaging (PAI). Examples will be given using OCT with nanomaterials to enhance the acquired imaging, acting as optical clearing agents for OCT. A novel application of gold nanoparticles and nanorods for imaging enhancement of incipient occlusal caries using OCT will be described. Additionally, we will highlight how the OCT technique can be properly managed to provide imaging with spatial resolution down to 10's-100's nm resolution. For PAI, we will describe how new nanoparticles, namely TiN, prepared by femtosecond laser ablation, can be used in nanodentistry and will show photoacoustic microscopy and tomography images for such exogenous agents.