Journal of investigative medicine : the official publication of the American Federation for Clinical Research
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HIV infections are prevalent among adolescents and young adults, of whom 44% remain unaware of their diagnosis. HIV screening presents numerous challenges including stigma, fear, and concerns about confidentiality, which may influence young people's acceptance of HIV screening and linkage to care differently from individuals in other age groups. It is imperative to understand which care delivery models are most effective in facilitating these services for youth. ⋯ A significant difference in acceptance of HIV testing was found between care models, with high rates of test acceptance in the ED setting in North America and primary care/hospital setting in the rest of the world. Similarly, linkage to care differed by model of care, with EDs having high rates of linkages to HIV care in North America. Future studies are needed to test mechanisms for optimizing outcomes for each care delivery model in addressing the unique challenges faced by adolescents and young adults.
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Hypertension is found frequently in patients with COVID-19 and is often treated with ACE inhibitors (ACEIs) and angiotensin receptor blockers (ARBs). SARS-CoV-2, the pathogen of COVID-19, binds to the receptors of ACE2 to enter the alveolar cells, raising questions on whether these drugs are salutary or harmful with respect to any propensity for COVID-19 or to disease prognosis. We investigated the impact of ACEI/ARB and the clinical prognosis of patients with hypertension with COVID-19. ⋯ During hospital stay, there was no significant difference in terms of length of hospital stay, medication for COVID-19, left ventricular ejection fraction on echocardiography and metabolic equivalents in the treadmill stress test between patients treated with and without ACEI/ARB. During treatment of COVID-19, there was no significant difference in clinical adverse event, effort capacity and clinical course between patients with and without ACEI/ARB. It appears that patients with COVID-19 may continue to use ACEI/ARB or that ACEI/ARB may be added safely to their antihypertensive treatment.
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This article aimed to investigate the effects of the administration method of pemetrexed and cisplatin on the efficacy and safety of treating non-small cell lung cancer (NSCLC) and the intrinsic molecular mechanism. Subcutaneous injection of A549 cells into BALB/C nude mice was used to explore the efficacy of different administration methods of pemetrexed and cisplatin in vivo. Immunogenic cell death (ICD) was evaluated by ATP secretion, ecto-CALR expression, and high mobility group protein 1 release. ⋯ STING pathway and ICD were further activated by sequential treatment with pemetrexed and cisplatin. This sequential administration method increased the levels of interferon β, tumor necrosis factor α, interleukin 12, and C-X-C motif chemokine ligand 10, enhanced the infiltration of CD8+ T cells, and upregulated the expression of PD-L1. Sequential administration of pemetrexed and cisplatin in the treatment of mouse NSCLC model may have a better effect than combination of drugs, providing theoretical basis and potential guidance for clinical medication.
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Comparative Study
Prospective predictive performance comparison between clinical gestalt and validated COVID-19 mortality scores.
Most COVID-19 mortality scores were developed at the beginning of the pandemic and clinicians now have more experience and evidence-based interventions. Therefore, we hypothesized that the predictive performance of COVID-19 mortality scores is now lower than originally reported. We aimed to prospectively evaluate the current predictive accuracy of six COVID-19 scores and compared it with the accuracy of clinical gestalt predictions. 200 patients with COVID-19 were enrolled in a tertiary hospital in Mexico City between September and December 2020. ⋯ Adjusting scores with locally derived likelihood ratios did not improve their performance; however, some scores outperformed clinical gestalt predictions when clinicians' confidence of prediction was <80%. Despite its subjective nature, clinical gestalt has relevant advantages in predicting COVID-19 clinical outcomes. The need and performance of most COVID-19 mortality scores need to be evaluated regularly.
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The ISARIC4C consortium developed and internally validated the 4C Score for prediction of mortality only in hospitalized patients. We aimed to assess the validity of the 4C Score in mortality prediction of patients with COVID-19 who had been home isolated or hospitalized. This retrospective cross-sectional study was performed after the first wave of COVID-19. ⋯ Other components of the model had non-significant predictions. In conclusion, the 4C Mortality Score has good sensitivity and specificity in early risk stratification and mortality prediction of patient with COVID-19. Within the model, only hypoxia, tachypnea, high BUN, and CRP were the independent mortality predictors with the possibility of overlooking other important predictors.