Background passive immunotherapy is a therapeutic alternative for patients with COVID-19. Equine polyclonal antibodies (EpAbs) could represent a source of scalable neutralizing antibodies against SARS-CoV-2. Methods we conducted a double-blind, randomized, placebo-controlled trial to assess efficacy and safety of EpAbs (INM005) in hospitalized adult patients with moderate and severe COVID-19 pneumonia in 19 hospitals of Argentina. Primary endpoint was improvement in at least two categories in WHO ordinal clinical scale at day 28 or hospital discharge (ClinicalTrials.gov number NCT04494984). Findings between August 1st and October 26th, 2020, a total of 245 patients were enrolled. Enrolled patients were assigned to receive two blinded doses of INM005 ( n = 118) or placebo ( n = 123). Median age was 54 years old, 65•1% were male and 61% had moderate disease at baseline. Median time from symptoms onset to study treatment was 6 days (interquartile range 5 to 8). No statistically significant difference was noted between study groups on primary endpoint (risk difference [95% IC]: 5•28% [-3•95; 14•50]; p = 0•15). Rate of improvement in at least two categories was statistically significantly higher for INM005 at days 14 and 21 of follow-up. Time to improvement in two ordinal categories or hospital discharge was 14•2 (± 0•7) days in the INM005 group and 16•3 (± 0•7) days in the placebo group, hazard ratio 1•31 (95% CI 1•0 to 1•74). Subgroup analyses showed a beneficial effect of INM005 over severe patients and in those with negative baseline antibodies. Overall mortality was 6•9% the INM005 group and 11•4% in the placebo group (risk difference [95% IC]: 0•57 [0•24 to 1•37]). Adverse events of special interest were mild or moderate; no anaphylaxis was reported. Interpretation Albeit not having reached the primary endpoint, we found clinical improvement of hospitalized patients with SARS-CoV-2 pneumonia, particularly those with severe disease.
During rhinoplasty consultations, surgeons typically create a computer simulation of the expected result. An artificial intelligence model (AIM) can learn a surgeon's style and criteria and generate the simulation automatically. The objective of this study is to determine if an AIM is capable of imitating a surgeon's criteria to generate simulated images of an aesthetic rhinoplasty surgery. This is a cross-sectional survey study of resident and specialist doctors in otolaryngology conducted in the month of November 2019 during a rhinoplasty conference. Sequential images of rhinoplasty simulations created by a surgeon and by an AIM were shown at random. Participants used a seven-point Likert scale to evaluate their level of agreement with the simulation images they were shown, with 1 indicating total disagreement and 7 total agreement. Ninety-seven of 122 doctors agreed to participate in the survey. The median level of agreement between the participant and the surgeon was 6 (interquartile range or IQR 5–7); between the participant and the AIM it was 5 (IQR 4–6), p-value < 0.0001. The evaluators were in total or partial agreement with the results of the AIM's simulation 68.4% of the time (95% confidence interval or CI 64.9–71.7). They were in total or partial agreement with the surgeon's simulation 77.3% of the time (95% CI 74.2–80.3). An AIM can emulate a surgeon's aesthetic criteria to generate a computer-simulated image of rhinoplasty. This can allow patients to have a realistic approximation of the possible results of a rhinoplasty ahead of an in-person consultation. The level of evidence of the study is 4.
Background and Purpose: Among patients with acute stroke symptoms, delay in hospital admission is the main obstacle for the use of thrombolytic therapy and other interventions associated with decreased mortality and disability. The primary aim of this study was to assess whether an elderly clinical population correctly endorsed the response to call for emergency services when presented with signs and symptoms of stroke using a standardized questionnaire. Methods: We performed a cross-sectional study among elderly out-patients (≥60 years) in Buenos Aires, Argentina randomly recruited from a government funded health clinic. The correct endorsement of intention to call 911 was assessed with the Stroke Action Test and the cut-off point was set at ≥75%. Knowledge of stroke and clinical and socio-demographic indicators were also collected and evaluated as predictors of correct endorsement using logistic regression. Results: Among 367 elderly adults, 14% correctly endorsed intention to call 911. Presented with the most typical signs and symptoms, only 65% reported that they would call an ambulance. Amaurosis Fugax was the symptom for which was called the least (15%). On average, the correct response was chosen only 37% of the time. Compared to lower levels of education, higher levels were associated to correctly endorsed intention to call 911 (secondary School adjusted OR 3.53, 95% CI 1.59-7.86 and Tertiary/University adjusted OR 3.04, 95% CI 1.12-8.21). Conclusions: These results suggest the need to provide interventions that are specifically designed to increase awareness of potential stroke signs and symptoms and appropriate subsequent clinical actions.
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