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307 results on '"Espiritu, Adrian I"'

19. Incidence and predictors of demyelinating disease in spondyloarthritis: data from a longitudinal cohort study.

Author

Remalante-Rayco, Patricia, Espiritu, Adrian I, Daghistani, Yassir, Chim, Tina, Atenafu, Eshetu, Keshavarzi, Sareh, Jha, Mayank, Gladman, Dafna D, Oh, Jiwon, Haroon, Nigil, and Inman, Robert D

Subjects
*INFLAMMATORY bowel disease diagnosis, *RISK assessment, *PSORIATIC arthritis, *PREDICTION models, *ANKYLOSIS, *SMOKING, *SCIENTIFIC observation, *DESCRIPTIVE statistics, *LONGITUDINAL method, *DEMYELINATION, *SPONDYLOARTHROPATHIES, *CONFIDENCE intervals, *PROPORTIONAL hazards models, *DISEASE risk factors
Abstract

Objectives The objectives of this study were to investigate the incidence of demyelinating disease (DD) among SpA patients and to identify risk factors that predict DD in this patient population. Methods Axial SpA (axSpA) and PsA patients were identified from a longitudinal cohort database. Each group was analysed according to the presence or absence of DD. Incidence rates (IRs) of DD were obtained, with competing risk analysis. Cox regression analysis (with Fine and Gray's method) was used to evaluate predictors of DD development. Results Among 2260 patients with follow-up data, we identified 18 DD events, corresponding to an average IR of 31 per 100 000 persons per year for SpA. The IR of DD at 20 years was higher in axSpA than in PsA (1.30% vs 0.13%, P  = 0.01). The risk factors retained in the best predictive model for DD development included ever- (vs never-) smoking [hazard ratio (HR) 2.918, 95% CI 1.037–8.214, P  = 0.0426], axSpA (vs PsA) (HR 8.790, 95% CI 1.242–62.182, P  = 0.0294) and presence (vs absence) of IBD (HR 5.698, 95% CI 2.083–15.589, P  = 0.0007). History of TNF-α inhibitor therapy was not a predictor of DD. Conclusion The overall incidence of DD in this SpA cohort was low. Incident DD was higher in axSpA than in PsA. A diagnosis of axSpA, the presence of IBD, and ever-smoking predicted the development of DD. History of TNF-α inhibitor use was not found to be a predictor of DD in this cohort. [ABSTRACT FROM AUTHOR]

Published
2024
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50. Clinical Outcomes of COVID-19 Infection in Pregnant and Nonpregnant Women: Results from The Philippine CORONA Study.

Author

Espiritu, Adrian I., Bravo, Sybil Lizanne R., Sombilla, Hannah Andrea A., Tantengco, Ourlad Alzeus G., Sy, Marie Charmaine C., Sy, Alvin Duke R., Anlacan, Veeda Michelle M., and Jamora, Roland Dominic G.

Subjects
COVID-19, PREGNANT women, TREATMENT effectiveness, LENGTH of stay in hospitals, RESPIRATORY insufficiency
Abstract

Objective: Our study determined the association of pregnancy with various clinical outcomes among women with COVID-19 infection. Methods: We conducted a retrospective, cohort, subgroup analysis of the Philippine CORONA Study datasets comparing the clinical/neurological manifestations and outcomes of pregnant and nonpregnant women admitted in 37 Philippine hospitals for COVID-19 infection. Results: We included 2448 women in the analyses (322 pregnant and 2.126 nonpregnant). Logistic regression models showed that crude odds ratio (OR) for mortality (OR 0.26 [95% CI 0.11, 0.66]), respiratory failure [OR 0.37 [95% CI 0.17, 0.80]), need for intensive care (OR 0.39 [95% CI 0.19, 0.80]), and prolonged length of hospital stay (OR 1.73 [95% CI 1.36, 2.19]) among pregnant women were significant. After adjusting for age, disease severity, and new-onset neurological symptoms, only the length of hospital stay remained significant (adjusted OR 1.99 [95% CI 1.56,2.54]). Cox regression models revealed that the unadjusted hazard ratio (HR) for mortality (HR 0.22 [95% CI 0.09, 0.55]) among pregnant women was statistically significant; however, after adjustment, the HR for mortality became nonsignificant. Conclusion: We did not find a significantly increased risk of mortality, respiratory failure, and need for ICU admission in pregnant women compared with nonpregnant women with COVID-19. However, the likelihood of hospital confinement beyond 14 days was twice more likely among pregnant women than nonpregnant women with COVID-19. [ABSTRACT FROM AUTHOR]

Published
2023
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