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1.
Artigo em Inglês | MEDLINE | ID: mdl-39477702

RESUMO

BACKGROUND: Prognostic models in peripheral T cell lymphoma (PTCL) have identified biological factors including age, performance status, LDH, and BM involvement as prognostic for survival. The association of social determinants of health (SDH), on PTCL outcomes remains unexplored. METHODS: To evaluate the impact of actionable SDH on PTCL mortality across race groups, we conducted a retrospective cohort study that included all White, Hispanic, Asian/Pacific Islander (PI) and Black adult patients with nodal PTCLs , diagnosed 2000-2020, in California. We utilized Chi2 and Wilcoxon rank-sum tests for descriptive metrics and Kaplan-Meier statistics for mortality estimation. Regression models included patient- (age, sex, race, stage, Charlson Comorbidity Index, histology, treatment, academic center treatment, payer), and neighborhood-level factors (socioeconomic (SES) quintile, proportion without a high school diploma, and rural/urban). Risk factors significant in univariate regression of P < .10 were incorporated into the multivariable model. FINDINGS: Our analysis included 6158 patients: 51.8% White, 25.8% Hispanic, 14.7% Asians/PI, and 7.6% Black. Hispanics exhibited the longest median survival (33 months) followed by Whites, Blacks, and Asian/PI (25, 20, and 14 months, respectively; P = .011). Risk factors independently associated with inferior lymphoma-specific survival (LSS) included Asian/PI compared with NH Whites (HR, 1.23; 95% CI, 1.10-1.34; P = .0002), AITL/ALCL compared with PTCL, NOS (AITL HR, 1.14; 95% CI, 1.02-1.25; P = .011; ALCL HR, 1.15; 95% CI, 1.04-1.26; P = .004), academic compared to nonacademic facility-type (HR 0.71; 95% CI, 0.64-0.77; P < .01), Medicare compared with uninsured (HR 1.48, 95% CI, 1.25-1.73; P < .01), and the lowest 3 compared to the highest education quartiles (Q2 HR 1.13; 95% CI, 1.01-1.25; P = .021; Q3 HR 1.14; 95% CI, 1.02-1.26; P = .018; Q4 HR 1.22; 95% CI, 1.08-1.36; P < .001). In the least resourced patients, histology, treatment, treatment facility-type, payer and education were independently prognostic for LSS. Academic center treatment was associated with a striking improvement in LSS (academic institution: yes = 101 months, no = 17 months; P < .01). INTERPRETATION: Treatment facility-type, payer and education, areindependent actionable SDH for PTCL mortality. Treatment center-type had the strongest prognostic association with LSS, conferring a risk reduction of PTCL mortality by nearly 30%.

2.
Gastrointest Endosc ; 2024 Jul 23.
Artigo em Inglês | MEDLINE | ID: mdl-39053653

RESUMO

BACKGROUND AND AIMS: Water exchange (WE) and cap-assisted colonoscopy separately have been shown to reduce pain during insertion in unsedated patients. We hypothesized that compared with WE, WE cap-assisted colonoscopy (WECAC) could significantly lower real-time maximum insertion pain (RTMIP). METHODS: Veterans without escort were recruited, randomized, blinded, and examined at 3 U.S. Veterans Affairs sites. The primary outcome was RTMIP, defined as the highest segmental pain (0 = no pain, 10 = most severe pain) during insertion. RESULTS: Randomization (WECAC, 143; WE, 137) produced an even distribution of a racially diverse group of men and women of low socioeconomic status. The intention-to-treat analysis reported results of WECAC and WE for cecal intubation (93% and 94.2%, respectively), mean RTMIP (2.9 [standard deviation {SD}, 2.5] and 2.6 [SD, 2.4]), proportion of patients with no pain (28.7% and 27.7%), mean insertion time (18.6 minutes [SD, 15.6] and 18.8 minutes [SD, 15.9]), and overall adenoma detection rate (48.3% and 55.1%); all P values were >.05. When RTMIP was binarized as "no pain" (0) versus "some pain" (1-10) or "low pain" (0-7) versus "high pain" (8-10), different significant predictors of RTMIP were identified. CONCLUSIONS: Unsedated colonoscopy was appropriate for unescorted veterans. WE alone was sufficient. Adding a cap did not reduce RTMIP. Patient-specific factors and application of WE with insertion suction of infused water contributed to high and low RTMIP, respectively. For unescorted patients, selecting those with low anxiety, avoiding low body mass index, history of depression or self-reported poor health, and complying with the steps of WE can minimize RTMIP to ensure success of unsedated colonoscopy. (Clinical trial registration number: NCT03160859.).

3.
Top Magn Reson Imaging ; 17(1): 41-50, 2006 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-17179896

RESUMO

OBJECTIVES: Increased iron deposition in the brain may occur in several neurodegenerative diseases, including Alzheimer disease (AD). Iron deposits shorten T2 relaxation times on T2-weighted magnetic resonance (MR) images. Iron-dependent contrast increases with magnetic field strength. We hypothesized that T2 mapping using 3 T MR imaging (MRI) can disclose differences between normal controls and AD subjects. METHODS: High-resolution brain imaging protocols were developed and applied to 24 AD patients and 20 age-matched controls using 3 T MRI. Eight anatomical regions of interest were manually segmented, and T2 histograms were computed. A visual analysis technique, the heat map, was modified and applied to the large image data sets generated by these protocols. RESULTS: A large number (163) of features from these histograms were examined, and 38 of these were significantly different (P < 0.05) between the groups. In the hippocampus, evidence was found for AD-related increases in iron deposition (shortened T2) and in the concentration of free tissue water (lengthened T2). Imaging of a section of postmortem brain before and after chemically extracting the iron established the presence of MRI-detectable iron in the hippocampus, cortex, and white matter in addition to brain regions traditionally viewed as containing high iron concentrations.


Assuntos
Doença de Alzheimer/diagnóstico , Doença de Alzheimer/metabolismo , Encéfalo/metabolismo , Ferro/metabolismo , Imageamento por Ressonância Magnética/métodos , Idoso , Biomarcadores/metabolismo , Encéfalo/patologia , Feminino , Humanos , Interpretação de Imagem Assistida por Computador/métodos , Distúrbios do Metabolismo do Ferro/diagnóstico , Distúrbios do Metabolismo do Ferro/metabolismo , Masculino
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