47 research outputs found
Attenuation of the effects of d-amphetamine on interval timing behavior by central 5-hydroxytryptamine depletion
The benign-malignant paradigm in pituitary neuroendocrine tumors and the metaphor of the semaphore: Reflections of a pathologist
El paradigma benigno-maligno en tumores neuroendocrinos hipofisarios y la metáfora del semáforo: reflexiones de un patólogo
Pain, Return to Community Status, and 90-Day Mortality Among Hospitalized Patients With Heart Failure
Background: Pain is common among patients with heart failure but has not been examined with short-term discharge
outcomes. The purpose was to examine whether pain at discharge predicts return to community status and 90-day
mortality among hospitalized patients with heart failure. Methods: Data from medical records of 2169 patients
hospitalized with heart failure were analyzed in this retrospective cohort study. The independent variable was a
diagnosis of pain at discharge. Outcomes were return to community status (yes/no) and 90-day mortality. Logistic
regression was used to address aims. Covariates included age, gender, race, vital signs, comorbid symptoms, comorbid
conditions, cardiac devices, and length of stay. Results: The sample had a mean age of 66.53 years, and was 57.4%
AQ3 women and 55.9%Black. Of 2169 patients, 1601 (73.8%) returned to community, and 117 (5.4%) died at or before
90 days. Patients with pain returned to community less frequently (69.6%) compared with patients without pain (75.
2%), which was a statistically significant relationship (odds ratio, 0.74; 95% confidence interval, 0.57–0.97; P = .028).
Other variables that predicted return to community status included age, comorbid conditions, dyspnea, fatigue, systolic
blood pressure, and length of stay. Pain did not predict increased 90-day mortality. Variables that predicted mortality
included age, liver disease, and systolic blood pressure. Conclusion: Patients with pain were less likely to return to
community but did not have higher 90-day mortality. Pain in combination with other symptoms and comorbid
conditions may play a role in mortality if acute pain versus chronic pain can be stratified in a future study.Research reported in this publication was supported by the National Institute of Nursing Research of the National Institutes of Health under award number T32 NR018407
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Mobile digital fluorescence microscopy for diagnosis of tuberculosis.
Access to sputum smear microscopy in high-tuberculosis (TB)-burden regions is limited by a scarcity of microscopes and experienced technicians. We evaluated the accuracy of CellScope, a novel digital fluorescence microscope that may expand access to microscopy. The study utilized smear microscopy slides prepared from sputum specimens submitted by consecutive adults with ≥ 2 weeks of cough who were admitted to Mulago Hospital (Kampala, Uganda). Conventional light-emitting diode (LED) fluorescence microscopy (FM) and mycobacterial culture were performed by experienced technicians. Two U.S.-based postgraduate researchers without prior microscopy experience restained, imaged, and interpreted the slides using CellScope. We assessed whether sensitivity and specificity of CellScope-based LED FM was noninferior to conventional LED FM by using a preselected margin of inferiority of 15%. Of 525 patients included, 72% were HIV seropositive and 39% had culture-confirmed TB. The proportions of positive results were similar with CellScope and conventional LED FM (34% versus 32%, respectively; P = 0.32), and agreement was substantial. CellScope accuracy was within the noninferiority margin for both sensitivity (63% versus 70%; difference, -7%; 95% confidence interval [CI], -13% to -1%) and specificity (85% versus 92%; difference, -7%; 95% CI, -12% to -3%). A subanalysis of 43 slides evaluated by each CellScope reader found substantial interreader reliability (custom-weighted kappa, 0.65) and variable intrareader reliability (custom-weighted kappa, 0.11 versus 0.48). CellScope offers promise for expanding microscopy services. Future studies should evaluate the device when operated by health workers in low-resource settings, the feasibility of image transmission and analysis by experienced microscopists, and the accuracy of automated image analysis algorithms
Mobile digital fluorescence microscopy for diagnosis of tuberculosis.
Access to sputum smear microscopy in high-tuberculosis (TB)-burden regions is limited by a scarcity of microscopes and experienced technicians. We evaluated the accuracy of CellScope, a novel digital fluorescence microscope that may expand access to microscopy. The study utilized smear microscopy slides prepared from sputum specimens submitted by consecutive adults with ≥ 2 weeks of cough who were admitted to Mulago Hospital (Kampala, Uganda). Conventional light-emitting diode (LED) fluorescence microscopy (FM) and mycobacterial culture were performed by experienced technicians. Two U.S.-based postgraduate researchers without prior microscopy experience restained, imaged, and interpreted the slides using CellScope. We assessed whether sensitivity and specificity of CellScope-based LED FM was noninferior to conventional LED FM by using a preselected margin of inferiority of 15%. Of 525 patients included, 72% were HIV seropositive and 39% had culture-confirmed TB. The proportions of positive results were similar with CellScope and conventional LED FM (34% versus 32%, respectively; P = 0.32), and agreement was substantial. CellScope accuracy was within the noninferiority margin for both sensitivity (63% versus 70%; difference, -7%; 95% confidence interval [CI], -13% to -1%) and specificity (85% versus 92%; difference, -7%; 95% CI, -12% to -3%). A subanalysis of 43 slides evaluated by each CellScope reader found substantial interreader reliability (custom-weighted kappa, 0.65) and variable intrareader reliability (custom-weighted kappa, 0.11 versus 0.48). CellScope offers promise for expanding microscopy services. Future studies should evaluate the device when operated by health workers in low-resource settings, the feasibility of image transmission and analysis by experienced microscopists, and the accuracy of automated image analysis algorithms
Recommended from our members
Mobile digital fluorescence microscopy for diagnosis of tuberculosis.
Access to sputum smear microscopy in high-tuberculosis (TB)-burden regions is limited by a scarcity of microscopes and experienced technicians. We evaluated the accuracy of CellScope, a novel digital fluorescence microscope that may expand access to microscopy. The study utilized smear microscopy slides prepared from sputum specimens submitted by consecutive adults with ≥ 2 weeks of cough who were admitted to Mulago Hospital (Kampala, Uganda). Conventional light-emitting diode (LED) fluorescence microscopy (FM) and mycobacterial culture were performed by experienced technicians. Two U.S.-based postgraduate researchers without prior microscopy experience restained, imaged, and interpreted the slides using CellScope. We assessed whether sensitivity and specificity of CellScope-based LED FM was noninferior to conventional LED FM by using a preselected margin of inferiority of 15%. Of 525 patients included, 72% were HIV seropositive and 39% had culture-confirmed TB. The proportions of positive results were similar with CellScope and conventional LED FM (34% versus 32%, respectively; P = 0.32), and agreement was substantial. CellScope accuracy was within the noninferiority margin for both sensitivity (63% versus 70%; difference, -7%; 95% confidence interval [CI], -13% to -1%) and specificity (85% versus 92%; difference, -7%; 95% CI, -12% to -3%). A subanalysis of 43 slides evaluated by each CellScope reader found substantial interreader reliability (custom-weighted kappa, 0.65) and variable intrareader reliability (custom-weighted kappa, 0.11 versus 0.48). CellScope offers promise for expanding microscopy services. Future studies should evaluate the device when operated by health workers in low-resource settings, the feasibility of image transmission and analysis by experienced microscopists, and the accuracy of automated image analysis algorithms
