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1.
Acta Obstet Gynecol Scand ; 100(12): 2253-2259, 2021 12.
Article in English | MEDLINE | ID: mdl-34546577

ABSTRACT

INTRODUCTION: Studies directly comparing preterm birth rates in women with and without severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection are limited. Our objective was to determine whether preterm birth was affected by SARS-CoV-2 infection within a large integrated health system in New York with a universal testing protocol. MATERIAL AND METHODS: This retrospective cohort study evaluated data from seven hospitals in New York City and Long Island between March 2020 and June 2021, incorporating both the first and second waves of the coronavirus disease 2019 (COVID-19) pandemic in the USA. All patients with live singleton gestations who had SARS-CoV-2 polymerase chain reaction (PCR) testing at delivery were included. Deliveries before 20 weeks of gestation were excluded. The rate of preterm birth (before 37 weeks) was compared between patients with positive and negative SARS-CoV-2 test results. This analysis was performed separately for resolved prenatal infections and infections at delivery, with the latter group subdivided by symptom status. Multiple logistic regression analysis was used to examine the association between SARS-CoV-2 infection and preterm birth, adjusting for maternal age, race-ethnicity, parity, history of preterm birth, body mass index, marital status, insurance type, medical co-morbidities, month of delivery, and wave of pandemic. RESULTS: A total of 31 550 patients were included and 2473 (7.8%) had laboratory-confirmed infection. Patients with symptomatic COVID-19 at delivery were more likely to deliver preterm (19.0%; adjusted odds ratio 2.76, 95% CI 1.92-3.88) compared with women with asymptomatic infection (8.8%) or without infection (7.1%). Among preterm births associated with symptomatic infection, 72.5% were medically indicated compared with 44.1% among women without infection (p < 0.001). Risk of preterm birth in patients with resolved prenatal infection was unchanged when compared with women without infection. Among women with infection at delivery, preterm birth occurred more frequently during the second wave compared with the first wave (13.6% vs. 8.7%, respectively; p < 0.006). However, this was not significant on multiple regression analysis after adjusting for other explanatory variables. CONCLUSIONS: Pregnant women with symptomatic COVID-19 are more than twice as likely to have a preterm delivery than patients without infection. Asymptomatic infection and resolved prenatal infection are not associated with increased risk.


Subject(s)
COVID-19/epidemiology , Pregnancy Complications, Infectious/epidemiology , Premature Birth/epidemiology , Adult , Cohort Studies , Female , Gestational Age , Humans , Maternal Age , New York/epidemiology , Pregnancy , Retrospective Studies , Risk Factors , SARS-CoV-2
3.
J Comp Eff Res ; 2(5): 483-95, 2013 Sep.
Article in English | MEDLINE | ID: mdl-24236745

ABSTRACT

AIM: With rapid innovations in diagnostic and therapeutic interventions in cancer care, comparative effectiveness reviews (CERs) are essential to inform clinical practice and guide future research. However, the optimal means to identify priority CER topics are uninvestigated. We aimed to devise a transparent and reproducible process to identify ten to 12 CER topics in the area of cancer imaging relevant to a wide range of stakeholders. MATERIALS & METHODS: Environmental scans and explicit prioritization criteria supported interactions (email communications, web-based discussions and live teleconferences) with experts and stakeholders culminating in a three-phase deductive exercise for prioritization of CER topics. RESULTS: We prioritized 12 CER topics in breast, lung and gastrointestinal cancers that addressed screening, diagnosis, staging, monitoring and evaluating response to treatment. CONCLUSION: Our project developed and implemented a transparent and reproducible process for research prioritization and topic nomination that can be further refined to improve the relevance of future CERs.


Subject(s)
Comparative Effectiveness Research , Diagnostic Imaging , Health Priorities , Neoplasms , Breast Neoplasms/diagnosis , Breast Neoplasms/therapy , Evidence-Based Medicine , Gastrointestinal Neoplasms/diagnosis , Gastrointestinal Neoplasms/therapy , Humans , Lung Neoplasms/diagnosis , Lung Neoplasms/therapy , Neoplasms/diagnosis , Neoplasms/therapy , Patient-Centered Care , Review Literature as Topic , Treatment Outcome
4.
Schizophr Res ; 132(1): 69-74, 2011 Oct.
Article in English | MEDLINE | ID: mdl-21831601

ABSTRACT

BACKGROUND: Structural abnormalities in the callosal fibers connecting the heteromodal association areas of the prefrontal and temporoparietal cortices bilaterally have been suggested to play a role in the etiology of schizophrenia. AIMS: To investigate for geometric abnormalities in these callosal fibers in schizophrenia patients by using a novel Diffusion-Tensor Imaging (DTI) metric of fiber geometry named Shape-Normalized Dispersion (SHD). METHODS: DTIs (3T, 51 gradient directions, 1.7mm isotropic voxels) were acquired from 26 schizophrenia patients and 23 matched healthy controls. The prefrontal and temporoparietal fibers of the corpus callosum were extracted by means of whole-brain tractography, and their mean SHD calculated. RESULTS: The schizophrenia patients exhibited subnormal levels of SHD in the prefrontal callosal fibers when controlling for between-group differences in Fractional Anisotropy. Reduced SHD could reflect either irregularly turbulent or inhomogeneously distributed fiber trajectories in the corpus callosum. CONCLUSIONS: The results suggest that the transcallosal misconnectivity thought to be associated with schizophrenia could reflect abnormalities in fiber geometry. These abnormalities in fiber geometry could potentially be underpinned by neurodevelopmental irregularities.


Subject(s)
Corpus Callosum/pathology , Nerve Fibers, Myelinated/pathology , Schizophrenia/pathology , Adult , Brain Mapping , Case-Control Studies , Diffusion Magnetic Resonance Imaging/methods , Humans , Image Processing, Computer-Assisted , Male , Middle Aged , Neural Pathways/physiopathology , Young Adult
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