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ABSTRACT: Crowdsourced registries have been used to quickly gather information, especially during emerging public health concerns. Registries that began during the COVID-19 pandemic were used to rapidly answer key questions on coinfections, experimental treatments, and morbidity and mortality outcomes. Registries are also used more frequently to support clinical trials and track long-term outcomes in patient populations. This article reviews registry methodology, including the collection of data from crowdsourcing and real-world sources, that can be applied to nurse researcher and clinical research nurse skill sets. The authors illustrate a recently reported crowdsourced COVID-19 and cryptococcal disease registry that followed project management strategies and the Agency for Healthcare Research and Quality registry guidelines for planning, execution, and analysis of registries and other research methods.
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COVID-19 , Colaboración de las Masas , Humanos , Colaboración de las Masas/métodos , Pandemias , Sistema de Registros , Salud PúblicaRESUMEN
Background: Invasive fungal disease caused by dimorphic fungi is associated with significant morbidity and mortality. Super-bioavailability itraconazole (SUBA-itra) is a novel antifungal agent with pharmacokinetic advantages over currently available formulations. In this prospective comparative study, we report the outcomes of patients with endemic fungal infections (histoplasmosis, blastomycosis, coccidioidomycosis, and sporotrichosis). Methods: This open-label randomized trial evaluated the efficacy, safety, and pharmacokinetics SUBA-itra compared with conventional itraconazole (c-itra) treatment for endemic fungal infections. An independent data review committee determined responses on treatment days 42 and 180. Results: Eighty-eight patients were enrolled for IFD (SUBA-itra, n = 42; c-itra, n = 46) caused by Histoplasma (n = 51), Blastomyces (n = 18), Coccidioides (n = 13), or Sporothrix (n = 6). On day 42, clinical success was observed with SUBA-itra and c-itra on day 42 (in 69% and 67%, respectively, and on day 180 (in 60% and 65%). Patients treated with SUBA-itra exhibited less drug-level variability at days 7 (P = .03) and 14 (P = .06) of randomized treatment. The concentrations of itraconazole and hydroxyitraconazole were comparable between the 2 medications (P = .77 and P = .80, respectively). There was a trend for fewer adverse events (AEs; 74% vs 87%, respectively; P = .18) and serious AEs (10% vs 26%; P = .06) in the SUBA-itra-treated patients than in those receiving c-itra. Serious treatment-emergent AEs were less common in SUBA-itra-treated patients (12% vs 50%, respectively; P < .001). Conclusions: SUBA-itra was bioequivalent, well tolerated, and efficacious in treating endemic fungi, with a more favorable safety profile than c-itra. Clinical Trials Registration: NCT03572049.
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BACKGROUND: Invasive fungal infections have been described throughout the COVID-19 pandemic. Cryptococcal disease after infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been reported in several isolated case reports and 1 larger case series. We sought to describe cryptococcal infections following SARS-CoV-2 through establishing a database to investigate underlying risk factors, disease manifestations, and outcomes. METHODS: We created a crowdsourced call for cases solicited through the Mycoses Study Group Education and Research Consortium, the Centers for Disease Control and Prevention Emerging Infectious Diseases Network, and infectious diseases Twitter groups. Data were collected in a web-based and secure REDCap survey without personal identifiers. RESULTS: Sixty-nine cases were identified and submitted by 29 separate institutional sites. Cryptococcosis was diagnosed a median of 22 days (interquartile range, 9-42 days) after SARS-CoV-2 infection. Mortality among those with available follow-up was 72% (26/36) for the immunocompetent group and 48% (15/31) for the immunocompromised group (likelihood ratio, 4.01; P = .045). We observed a correlation between disease manifestation (central nervous system infection, proven/probable disseminated disease, and respiratory) and mortality (P = .002). CONCLUSIONS: The mortality rate of 59% for patients with cryptococcosis following SARS-CoV-2 is higher than that of modern Cryptococcus cohorts. There was an association between immunocompromised status and cryptococcal disease manifestations as well as mortality. Moreover, our series emphasizes the need for clinical and laboratory assessment of opportunistic infections beyond 30 days when concerning symptoms develop.
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COVID-19 , Criptococosis , Cryptococcus , Humanos , Pandemias , SARS-CoV-2 , Criptococosis/tratamiento farmacológicoRESUMEN
BACKGROUND: In March 2020, the World Health Organization declared COVID-19, caused by the SARS-CoV-2 virus, a pandemic. Patients with severe cases resulting in hospitalization and mechanical ventilation are at risk for COVID-19-associated pulmonary aspergillosis, an invasive fungal infection, and should be screened for aspergillosis if they have persistent hemodynamic instability and fever. Early detection and treatment of this fungal infection can significantly reduce morbidity and mortality in this population. OBJECTIVE: To develop an evidence-based care step pathway tool to help intensive care unit clinicians assess, diagnose, and treat COVID-19-associated pulmonary aspergillosis. METHODS: A panel of 18 infectious disease experts, advanced practice registered nurses, pharmacists, and clinical researchers convened in a series of meetings to develop the Care Step Pathway tool, which was modeled on a tool developed by advanced practice nurses to evaluate and manage side effects of therapies for melanoma. The Care Step Pathway tool addresses various aspects of disease management, including assessment, screening, diagnosis, antifungal treatment, pharmacological considerations, and exclusion of other invasive fungal coinfections. RESULTS: The Care Step Pathway tool was applied in the care of a patient with COVID-19-associated aspergillosis. The patient was successfully treated. CONCLUSION: The Care Step Pathway is an effective educational tool to help intensive care unit clinicians consider fungal infection when caring for COVID-19 patients receiving mechanical ventilation in the intensive care unit, especially when the clinical course is deteriorating and antibiotics are ineffective.
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COVID-19 , Infecciones Fúngicas Invasoras , Aspergilosis Pulmonar , Humanos , SARS-CoV-2 , Unidades de Cuidados IntensivosRESUMEN
OBJECTIVE: The frequency modulation (FM) of speech can convey linguistic information and also enhance speech-stream coherence and segmentation. The purpose of the present study was to use a clinically oriented approach to examine the effects of age and hearing loss on the ability to discriminate between stochastic patterns of low-rate FM and determine whether difficulties in speech perception experienced by older listeners relate to a deficit in this ability. DESIGN: Data were collected from 18 normal-hearing young adults, and 18 participants who were at least 60 years old, nine of whom had normal hearing and the remaining nine who had a mild-to-moderate sensorineural hearing loss. Using stochastic frequency modulators derived from 5-Hz low-pass noise applied to a 1-kHz carrier, discrimination thresholds were measured in terms of frequency excursion (ΔF) both in quiet and with a speech-babble masker present, stimulus duration, and signal-to-noise ratio (SNR(FM)) in the presence of a speech-babble masker. Speech-perception ability was evaluated using Quick Speech-in-Noise (QuickSIN) sentences in four-talker babble. RESULTS: Results showed a significant effect of age but not of hearing loss among the older listeners, for FM discrimination conditions with masking present (ΔF and SNR(FM)). The effect of age was not significant for the FM measures based on stimulus duration. ΔF and SNR(FM) were also the two conditions for which performance was significantly correlated with listener age when controlling for effect of hearing loss as measured by pure-tone average. With respect to speech-in-noise ability, results from the SNR(FM) condition were significantly correlated with QuickSIN performance. CONCLUSIONS: Results indicate that aging is associated with reduced ability to discriminate moderate-duration patterns of low-rate stochastic FM. Furthermore, the relationship between QuickSIN performance and the SNR(FM) thresholds suggests that the difficulty experienced by older listeners with speech-in-noise processing may, in part, relate to diminished ability to process slower fine-structure modulation at low sensation levels. Results thus suggest that clinical consideration of stochastic FM discrimination measures may offer a fuller picture of auditory-processing abilities.