Image 1_Characterizing HLA-A2-restricted CD8+ T-cell epitopes and immune responses to Omicron variants in SARS-CoV-2-inactivated vaccine recipients.tif by Chanchan Xiao (9522614)

“…We identified two epitopes associated with decreased CD8 T-cell reactivity post-Omicron variant emergence. …”

Flow chart of the study participants. by Milton W. Musaba (8431944)

“…</p><p>Results</p><p>Bedside resuscitation increased significantly in the post-implementation period (9.3% versus 45.3%, <i>p</i> < 0.001 while early cord clamping decreased (26.7% versus 12.0%, <i>p</i> = 0.042). …”

Suggested modifications for the BabySaver. by Milton W. Musaba (8431944)

“…</p><p>Results</p><p>Bedside resuscitation increased significantly in the post-implementation period (9.3% versus 45.3%, <i>p</i> < 0.001 while early cord clamping decreased (26.7% versus 12.0%, <i>p</i> = 0.042). …”

Dupilumab improves sense of smell and clinical outcomes in patients with severe chronic rhinosinusitis with nasal polyps with anosmia by Andrew P. Lane (20367704)

“…</p> <p>Of 724 patients, 665 (91.9%) had smell impairment at baseline; most had anosmia (UPSIT 0–18) (dupilumab/placebo: 80.9%/79.8%). At week 24, the proportion of dupilumab-treated patients with anosmia decreased to 28.5%, while 14.9% achieved normosmia; most placebo-group patients (79.2%) remained anosmic and only 1.2% achieved normosmia (odds ratio = 17.3; 95% confidence interval = 5.1–59.0; <i>p</i> <.0001); results were similar at week 52. …”

Table1_Adverse event signal mining and severe adverse event influencing factor analysis of Lumateperone based on FAERS database.docx by Yanjing Zhang (401134)

“…Conversely, concomitant use of CYP3A4 inhibitors or drugs metabolized by CYP3A4 was associated with a decreased risk of severe AEs (OR = 0.524 [0.434, 0.633], P = 0.000).…”

DataSheet1_Genetic variants of LRRC8C, OAS2, and CCL25 in the T cell exhaustion-related genes are associated with non-small cell lung cancer survival.doc by Guojun Lu (7169969)

“…Background<p>T cell exhaustion is a state in which T cells become dysfunctional and is associated with a decreased efficacy of immune checkpoint inhibitors. …”

Table1_Genetic variants of LRRC8C, OAS2, and CCL25 in the T cell exhaustion-related genes are associated with non-small cell lung cancer survival.docx by Guojun Lu (7169969)

“…Background<p>T cell exhaustion is a state in which T cells become dysfunctional and is associated with a decreased efficacy of immune checkpoint inhibitors. …”

Table 1_Relationship between advanced lung cancer inflammation index and all-cause and cause-specific mortality among chronic inflammatory airway diseases patients: a population-ba... by Zhuanbo Luo (378365)

“…An elevated ALI was significantly related to a decreased risk of all-cause mortality, as well as mortality from cardiovascular and respiratory diseases among CIAD patients. …”

Table 1_Stroke-associated pneumonia with low PaO2/FiO2 ratio in acute large vessel occlusion after endovascular therapy: risk factors and prognosis.docx by Kun Tang (75641)

“…A deterioration in SAP manifests itself in a decreased partial pressure oxygen (PaO₂)/fraction of inspired oxygen (FiO₂) ratio, indicating gas exchange dysfunction. …”

Table 1_Indole-3-acetic acid enhances ruminal microbiota for aflatoxin B1 removal in vitro fermentation.docx by Jiajin Sun (16813628)

“…It significantly reduced the relative proportions of R. amylophilus, P. ruminicola, and F. succinogenes (p < 0.05). (2) As the content of IAA increased, AFB1 exposure decreased. …”

Data Sheet 1_Genetic variation in RYR1 is associated with heart failure progression and mortality in a diverse patient population.docx by Leonardo A. Guerra (20762270)

“…Based on eQTL data, these SNPs were associated with decreased RYR1 expression in vascular tissue. Two missense variants, in linkage disequilibrium with rs2915950 (rs2915952 and rs2071089) were significantly associated with decreased mortality risk (P = 0.03) and decreased risk of atrial fibrillation/flutter (OR: 0.66, 95% CI: 0.44–0.96; P = 0.03 and OR: 0.67, 95% CI: 0.45–0.98; P = 0.04, respectively). …”

Scatterplot 8. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”

Scatterplot 5. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”

Scatterplot 9. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”

Image 2_The association between fluid balance trajectories and prognosis in ICU patients with cardiac arrest, a group-based trajectory model analysis.tiff by Qitian Zhang (19791372)

“…Cox proportional hazards analysis indicated that, after adjusting for various covariates, the survival rate in Trajectory 1 remained significantly higher than in other trajectory groups (Reference, Trajectory 1; Trajectory 2, HR = 1.75 [1.31–2.34], Trajectory 3, HR = 2.02 [1.53, 2.68], Trajectory 4, HR = 1.71 [1.24, 2.37]). …”

Scatterplot 1. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”

Table 1_The association between fluid balance trajectories and prognosis in ICU patients with cardiac arrest, a group-based trajectory model analysis.xlsx by Qitian Zhang (19791372)

“…Cox proportional hazards analysis indicated that, after adjusting for various covariates, the survival rate in Trajectory 1 remained significantly higher than in other trajectory groups (Reference, Trajectory 1; Trajectory 2, HR = 1.75 [1.31–2.34], Trajectory 3, HR = 2.02 [1.53, 2.68], Trajectory 4, HR = 1.71 [1.24, 2.37]). …”

Scatterplot 6. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”

Scatterplot 2. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”

Raw data of this study. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”